papers (work done after 1989)

  1. Simulations without Critical Slowing Down-Ising and 3-state Potts Models D. Kandel, E. Domany and A. Brandt, Phys. Rev. B 40, 330 (1989).

  2. Layered Neural Networks E. Domany, R. Meir and W. Kinzel, J. Phys. A. 22, 2081 (1989).

  3. Rigorous Derivation of Domain Growth Kinetics without Conservation Laws D. Kandel and E. Domany, J. Stat. Phys. 58, 685 (1990)

  4. Structure and Phase Transitions of Grown and Equilibrated alloys. Y. Bar-Yam, D. Kandel and E. Domany, Phys. Rev B 41, 12869 (1990)

  5. Cluster Dynamics for Fully Frustrated Systems D. Kandel, R. Ben-Av and E. Domany, Physical Review Letters 65, 941 (1990)

  6. A Six-Vertex Model as a Diffusion Problem: Derivation of Correlation Functions D. Kandel, E. Domany and B. Nienhuis, J. Phys. A. 23, L755 (1990)

  7. Critical Capacity of Constrained Perceptrons J. Kurchan and E. Domany, J. Phys. A 23, L847

    (1990).

  8. Critical Capacity of Noisy and Asymmetrically Constrained Perceptrons J. Kurchan and E. Domany, J. Phys. A 24, 1947 (1991)

  9. Learning by CHIR Without Storing Internal Representations D. Nabutovsky, T. Grossman and E. Domany, Complex Systems 4, 519 (1990)

  10. An All-Optical Hopfield Network: Theory and Experiment H. Shouval, I. Shariv, T. Grossman, A. A. Friesem and E. Domany, Int. J. Neur. Sys. 1, 355 (1991)

  11. Universality and Pattern Selection in Two-Dimensional Cellular Structures J. Stavans, E. Domany and D. Mukamel, Europhys. Lett. 15, 479 (1991)

  12. General Cluster Monte Carlo Dynamics D. Kandel and E. Domany, Phys. Rev. B 43, 8539 (1991)

  13. Learning the Unlearnable D. Nabutovsky and E. Domany, Neural Computation 3, 602 (1991)

  14. Nucleation and Growth in the Coexistence Region E. Domany and S. Nagler, Physica A 177, 301 (1991)

  15. Cluster Monte Carlo Dynamics for the Fully Frustrated Ising Model D. Kandel, R. Ben-Av and E. Domany, Phys. Rev. B 45, 4700 (1992)

  16. An Exact Solution of a One Dimensional Asymmetric Exclusion Model With Open Boundaries B. Derrida, E. Domany and D. Mukamel, J. Stat. Phys. 69, 667 (1992)

  17. Phase Transitions in an Exactly Soluble One-Dimensional Exclusion Process G. Schutz and E. Domany, J. Stat. Phys. 72, 277 (1993)

  18. Computational Capabilities of Restricted Two Layered Perceptrons , A. Priel, M. Blatt, T. Grossman, E. Domany, and I. Kanter Physical Review E 50, 577 (1994).

  19. A Cluster Method for the Ashkin-Teller Model S. Wiseman and E. Domany, Phys. Rev.E 48, 4080 (1993)

  20. A Neural Network Classifier in Experimental Particle Physics A. Handzel, E. Domany, S. Tarem, E. Duchovny, Int. J. of Neural Systems 4, 95 (1993)

  21. Topological Distribution of Survivors in an Evolving Cellular Structure B. Levitan, E. Slepyan, O. Krichevsky, J. Stavans and E. Domany, Phys. Rev. Lett. 73, 706 (1994).

  22. On the equivalence of two-layered perceptrons with binary neurons , M. Blatt, E. Domany, and I. Kanter, International Journal of Neural Networks 6(6) 225-231(1995).

  23. Critical Behaviour of the Random-Bond Ashkin-Teller Model - a Monte Carlo Study S. Wiseman and E. Domany, Phys. Rev. E 51, 3074 (1995).

  24. Search for Kosterlitz-Thouless Transitions in a Triangular Ising Antiferromagnet with Further Neighbour Ferromagnetic Interactions S.L.A. de Queiroz and E. Domany, Phys. Rev. E 52, 4768 (1995).

  25. Lack of Self Averaging in Critical Disordered Systems S. Wiseman and E. Domany, Phys. Rev. E 52, 3469 (1995).

  26. Protein Fold Recognition and Dynamics in the Space of Contact Maps L. Mirny and E. Domany, Proteins: Structure, Function and Genetics, 26, 391-410 (1996).

  27. Topological Model of Soap Froth Evolution with Deterministic T2-processes B. Levitan and E. Domany, Europhys. Lett 32, 543 (1995).

  28. Super-paramagnetic clustering of data M. Blatt, S. Wiseman, and E. Domany Physical Review Letters 76, 3251 (1996).

  29. Topological Simulations of Dynamical Features in Coarsening Soap Froth, B. Levitan and E. Domany, Phys. Rev. E 54, 2766 (1996).

  30. Dynamical Features in Soap Froth Evolution: Topological Approach B. Levitan and E. Domany, Int. J. Modern Phys. B 10, 3765 (1996).

  31. Mean Field Behavior of Cluster Dynamics, N. Persky, R. Ben-Av, I. Kanter and E, Domany, Physical Review E 54, 2351 (1996).

  32. Data Clustering Using a Model Granular Magnet, M. Blatt, S. Wiseman and E, Domany, Neural Computation 9, 1805-1842 (1997).

  33. An Algorithm - Independent Definition of Damage Spreading - Application to Directed Percolation, Haye Hinrichsen, Joshua S. Weitz and E, Domany, J. Stat. Phys. 88, 617 (1997) .

  34. Damage Spreading in the Ising Model, Haye Hinrichsen and E. Domany, Phys. Rev. E 56, 94 (1997).

  35. Long-time Behavior of the Survivors' Areas, B. Levitan and E. Domany, Europhys.Lett. 38, 485 (1997).

  36. Recovery of Protein Structure from Contact Maps, Michele Vendruscolo, Edo Kussell and E. Domany, Folding and Design, 2, 295-306 (1997).

  37. Ostwald Ripening in Two Dimensions: Treatment with Pairwise Interactions, Boris Levitan and E. Domany, J. Stat. Phys. 93, 501 (1998).

  38. Ostwald Ripening in Two Dimensions: Correlations and Scaling Beyond Mean Field, Boris Levitan and E. Domany, Phys. Rev. E 57, 1895 (1998).

  39. Super-paramagnetic clustering of data, Shai Wiseman, Marcelo Blatt and Eytan Domany, Phys. Rev. E 57, 3767 (1998).

  40. Pairwise contact potentials are unsuitable for protein folding Michele Vendruscolo and Eytan Domany, J. Chem. Phys. 109, 11101 (1998).

  41. Self-Averaging, Distribution of Pseudo-Critical Temperatures and Finite Size Scaling in Critical Disordered Systems Shai Wiseman and Eytan Domany, Phys. Rev. E 58, 2938 (1998).

  42. Lack of Self Averaging and Finite Size Scaling in Critical Disordered Systems Shai Wiseman and Eytan Domany, Phys. Rev. Lett. 81, 22 (1998).

  43. Damage Spreading in a 2D Ising Model with Swendsen-Wang Dynamics Haye Hinrichsen Eytan Domany and Dietrich Stauffer, J. Stat. Phys. 91, 807 (1998).

  44. Efficient Dynamics in the Space of Contact Maps M. Vendruscolo and E. Domany, Folding and Design 3, 329 (1998).

  45. Protein folding in contact map space M. Vendruscolo, R. Najmanovich and E. Domany, Physical Review Letters, 82, 656 (1999).

  46. Statistical Properties of Contact Maps Michele Vendruscolo, Balakrishna Subramanian, Ido Kanter, Eytan Domany and Joel Lebowitz, Phys. Rev. E 59, 977 (1999).

  47. Can a Pairwise Contact Potential Stabilize Native Protein Folds Against Decoys Obtained by Threading? M. Vendruscolo, R. Najmanovich and E. Domany, Proteins: Structure, Function and Genetics, 38, 134 (2000).

  48. Protein folding using contact maps M. Vendruscolo and E. Domany, Vitamins and Hormones, 58, 171 (2000).

  49. Folding Lennard-Jones proteins by a contact potential C. Clementi, M. Vendruscolo, A. Maritan and E. Domany, Proteins: Structure, Function and Genetics, {\bf 37}, 544 (1999).

  50. Maximal a-posteriori multi-sensor multi-target neural data fusion M. Blatt, T. Grossman and E. Domany, (submitted 1998).

  51. Automated assignment of SCOP and CATH protein structure classification from FSSP scores, G.Getz, M. Vendruscolo, David Sachs and E. Domany, Proteins, 46, 405 (2002).

  52. Flowing sand - a physical realization of Directed Percolation Haye Hinrichsen, Andrea Jimenez Dalmaroni, Yadin Rozov and Eytan Domany, Phys. rev. Lett. 83, 4999 (1999).

  53. Flowing sand - a possible physical realization of Directed Percolation Haye Hinrichsen, Andrea Jimenez Dalmaroni, Yadin Rozov and Eytan Domany J. Stat. Phys. 98, 1149 (2000).

  54. Super-paramagnetic clustering of yeast gene expression profiles G. Getz, E. Levine,E. Domany and M. Q. Zhang Physica A279, 457 (2000) .

  55. Towards an Energy Function for the Contact Map Representation of Proteins Kibeom Park, Michele Vendruscolo and Eytan Domany, Proteins: Structure, Function and Genetics, {\bf 40}, 237 (2000).

  56. Comparison of two optimization methods to derive energy parameters for protein folding: perceptron and $Z$ score Michele Vendruscolo, Leonid A. Mirny, Eugene I. Shakhnovich and Eytan Domany, Proteins 41, 192 (2000)

  57. Coupled Two-Way Clustering Analysis of Gene Microarray Data Gad Getz, Erel Levine and Eytan Domany, PNAS 97, 12079 (2000)

  58. Resampling method for unsupervised estimation of cluster validity, Erel Levine and Eytan Domany, Neural Comp. 13, 2573-2593 (2001)

  59. Power - law distribution of dividends in horse races, Kibeom Park and Eytan Domany, Europhys. Lett. 53, 419 (2001)

  60. Spin domains generate hierarchical ground state structure in J = +/- 1 spin glasses, Guy Hed, Alexander K. Hartmann, Dietrich Stauffer and Eytan Domany, Phys. Rev. Lett. 86, 3148 (2001)

  61. Computational Capacity of an Odorant Discriminator: the Linear Separability of Curves, N. Caticha, J. E. Palo Tejada, D. Lancet and Eytan Domany, Neural Comp. 14, 2201 (2002)

  62. New extrapolation of overlap distribution in spin glasses, Guy Hed, Alexander K. Hartmann, and Eytan Domany, Europhys. Lett. 55, 112 (2001)

  63. DNA microarrays identification of primary and secondary target genes regulated by p53, K. Kannan, N. Amariglio, G. Rechavi, J. Jakob-Hirsch, I. Kela, N. Kaminski, G. Getz, E. Domany and D. Givol, Oncogene 20, 2225 (2001)

  64. Correlated spin domains generate a hierarchical structure in state space in short range spin glasses, Eytan Domany, Guy Hed, Matteo Palassini and A. P. Young, Phys. Rev. B. 64, 224406 (2001)

  65. Cluster analysis of human autoantibody reactivities in health and in type 1 diabetes mellitus: A bio-informatic approach to immune complexity, Francisco J Quintana, Gad Getz, Guy Hed, Eytan Domany and Irun R Cohen, J. Autoimmunity 21, 65 (2003)

  66. Does the contact vector pin down the structure?, A. Kabakcioglu, I. Kanter, M. Vendruscolo and E. Domany, Phys. Rev. E 65, 04, (2001)

  67. Classification of human astrocytic gliomas on the basis of gene expression: A correlated group of genes with angiogenic activity emerges as a strong predictor of subtypes., Godard, S., Getz, G., Kobayashi, H., Farmer, P., Delorenzi, M., Nozaki, M., Diserens, A.-C., Hamou, M.-F., Dietrich, P.-Y., Villemure, J.-G., Janzer, R. C., Bucher, P., Stupp, R., de Tribolet, N., Domany,E., Hegi,M. E. , Cancer Research 63, 6613 (2003)

  68. Cluster Analysis of Gene Expression Data, E. Domany, J. Stat. Phys. 110, 1117 (2003)

  69. Coupled Two-Way Clustering analysis of breast cancer and colon cancer gene expression data, G. Getz, H. Gal, D. A. Notterman and E. Domany, Bioinformatics 19, 1079 (2003)

  70. Coupled Two-Way Clustering Server, G. Getz and E. Domany, Bioinformatics 19, 1153 (2003)

  71. Genome-wide comparison of keratinocyte and squamous cell carcinoma response to UV irradiation: implication for skin and epithelial cancer development, J.-E. Dazard, H. Gal, N. Amariglio, G. Rechavi, E. Domany and D. Givol, Oncogene 22, 2993 (2003).

  72. Expression profiles of acute lymphoblastic and myeloblastic leukemias with ALL-1 rearrangements, Rozovskaia, T., Ravid-Amir, O., Tillib, S., Getz, G., Feinstein, E., Agrawal, H., Nagler, A., Rappeport, E. Issaeva, I., Matsuo, Y., Kees, U. R., Lapidot, T., Lo Coco, F., Foa, R., Mazo, A., Nakamura, T., Croce, C.M., Cimino, G., Domany, E. and Canaani, E. PNAS 100, 7853 (2003).

  73. Inhibition of p53-induced apoptosis without affecting expression of p53-regulated genes, Joseph Lotem, Hilah Gal, Rachel Kama, Ninette Amariglio, Gideon Rechavi, Eytan Domany, Leo Sachs and David Givol. PNAS 100, 6718 (2003)

  74. Potts ferromagnets on co-expressed gene networks: Identifying maximally stable partitions, H. Agrawal and E. Domany, Phys. Rev. Lett. 90, 158102 (2003).

  75. GeneNote: whole genome expression profiles in normal human tissues, Orit Shmueli, Shirley Horn-Saban, Vered Chalifa-Caspi, Michael Shmoish, Ron Ophir, Hila Benjamin-Rodrig, Marilyn Safran, Eytan Domany, Doron Lancet, Comptes Rendues Biologies 326, 1067-1072 (2003).

  76. FSSP to SCOP and CATH (F2CS) Prediction Server, Gad Getz, Alina Starovolsky and Eytan Domany, Bioinformatics 20, 2150-2152 (2004).

  77. Lack of Ultrametricity in the Low Temperature phase of 3D Ising Spin Glasses, Guy Hed, A. P. Young and Eytan Domany, Phys. Rev. Lett. 92 157201 (2004).

  78. Functional immunomics: Microarray analysis of IgG autoantibody repertoires predicts the future response of NOD mice to an inducer of accelerated diabetes, Francisco J. Quintana, Peter H. Hagedorn, Gad Elizur, Yifat Merbl, Eytan Domany and Irun R. Cohen PNAS 101, 14615 (2004).

  79. Transcriptional programs following genetic alterations in p53, INK4A, and H-Ras genes along defined stages of malignant transformation. Michael Milyavsky, Yuval Tabach, Igor Shats, Neta Erez, Yehudit Cohen, Xiaohu Tang, Marina Kalis, Ira Kogan, Yosef Buganim, Naomi Goldfinger, Doron Ginsberg, Curtis C. Harris, Eytan Domany and Varda Rotter, Cancer Research, 65, 4531 (2005).

  80. Outcome signature genes in breast cancer: is there a unique set? Liat Ein-Dor, Itai Kela, Gad Getz, David Givol and Eytan Domany Bioinformatics, 21, 171 (2005).

  81. Design Principle of Gene Expression Used by Human Stem Cells; Implication for Pluripotency. Michal Golan-Mashiach, Jean-Eude Dazard, Sharon Gerecht Nir, Ninette Amariglio, Tamar Fisher, Jasmine Jacob-Hirsch, Bela Bielorai, Sivan Osenberg, Omer Barad, Gad Getz, Amos Toren, Gideon Rechavi, Joseph Eldor-Itskovitz, Eytan Domany and David Givol FASEB J. 19, 147 (2005).

  82. Vascular gene expression and phenotypic correlation during differentiation of human embryonic stem cells Sharon Gerecht-Nir, Jean-Eudes Dazard, Michal Golan-Mashiach, Sivan Osenberg, Alex Botvinik, Ninette Amariglio, Eytan Domany, Gideon Rechavi, David Givol and Joseph Eldor-Itskovitz, Developmental Dynamics 232, 487 (2005).

  83. Genome- wide midrange transcription profiles reveal expression level relationships in human tissue specification. Itai Yanai, Hila Benjamin, Michael Shmoish, Vered Chalifa-Caspi, Maxim Shklar, Ron Ophir, Arren Bar-Even, Shirley Horn-Saban, Marilyn Safran, Eytan Domany, Doron Lancet and Orit Shmueli, Bioinformatics 21, 650 (2005)

  84. Sorting Points Into Neighborhoods (SPIN): Data Analysis and Visualization by Ordering Distance Matrices. D. Tsafrir, I. Tsafrir, L. Ein-Dor, O. Zuk, D. Notterman and E. Domany, Bioinformatics 21, 2301 (2005).

  85. Semi Supervised Learning - a Statistical Physics Approach. G. Getz, N. Shental and E. Domany Proceedings of "Learning with partially classified training data - ICML 2005" workshop, p.37.

  86. Induction in myeloid leukemic cells of genes that are expressed in different normal tissues. Joseph Lotem, Hila Benjamin, Dvir Netaneli, Eytan Domany and Leo Sachs. PNAS 101, 16022 (2004).

  87. Genome-wide transcription regulatory circuits controlling cellular malignant transformation Y. Tabach, M. Milyavsky, O. Zuk, A. Yitzhaky, I. Scats, E. Domany, V. Rotter and Y. Pilpel, Mol. Sys. Biol. 1, (2005) doi:10.1038/msb4100030.

  88. Asymptotics of the Entropy Rate for a Hidden Markov Process. Or Zuk, Ido Kanter and Eytan Domany, Proceedings of Data Compression Conference DCC2005, Snowbird, Utah, Ed. J.A. Storer and M. Cohn, IEEE Computer Society, p. 173 (2005).

  89. The Entropy of a binary Hidden Markov Process. Or Zuk, Ido Kanter and Eytan Domany, J. Stat. Phys. 121, 343 (2005).

  90. Gene expression analysis reveals a strong signature of an interferon induced pathway in in childhood lymphoblastic leukemia as well as in breast and ovarian cancers. Uri Einav, Yuval Tabach, Gad Getz, Assif Yitzhaky, Ugur Ozbek, Ninette Amariglio, Shai Izraeli, Gideon Rechavi and Eytan Domany, Oncogene 24, 6367 (2005).

  91. Identification of a Proliferation Gene Cluster Associated with HPV E6/E7 Expression Level and Viral DNA Load in Invasive Cervical Carcinoma. Christophe Rosty, Michal Sheffer, Dafna Tsafrir, Nicolas Stransky, Ilan Tsafrir, Martine Peter, Patricia de Cremoux, Anne de La Rochefordiere, Remy Salmon, Thierry Dorval, Jean Paul Thiery, Jerome Couturier, Francois Radvanyi, Eytan Domany and Xavier Sastre- Garau, Oncogene 24, 7094 (2005).

  92. Analysis of DNA-chip and antigen chip data: studies of cancer, stem cells and autoimmune diseases. E Domany, Computer Physics Communications 169, 183 (2005)

  93. Finding Motifs in Promoter Regions Libi Hertzberg, Or Zuk, Gad Getz and Eytan Domany J. Comp. Biol. 12, 314 (2005)

  94. Relationship of Gene expression and Chromosomal Abnormalities in Colorectal Cancer D. Tsafrir, M. Bacolod, Z. Selvanayagam, I. Tsafrir, J. Shia, Z. Zeng, H. Liu, C. Krier, R. F. Stengel, F. Barany, W.L. Gerald, P. B. Paty, E. Domany and D.A. Notterman, Cancer Research 66, 2129 (2006)

  95. Human cancers over express genes that have distinct expression patterns in different normal human tissues. Joseph Lotem, Dvir Netanely, Eytan Domany and Leo Sachs, PNAS 102, 18556-18561 (2005).

  96. From finite system entropy to entropy rate for a Hidden Markov Process. O. Zuk, E. Domany, I. Kanter and M. Aizenman, IEEE Signal Processing Letters 13, 517-520 (2006).

  97. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Liat Ein-Dor, Or Zuk and Eytan Domany, PNAS 103, 5923-5928 (2006).

  98. Multiple adaptive mechanisms to chronic liver disease revealed at early stages of liver carcinogenesis in the Mdr2-knockout mice. Mark Katzenellenbogen, Orit Pappo, Hila Barash, Naama Klopstock, Lina Mizrahi, Devorah Olam, Jasmine Jacob-Hirsch, Ninette Amariglio, Gidi Rechavi, Leslie Ann Mitchell, Ron Kohen, Eytan Domany, Eithan Galun and Daniel Goldenberg. Cancer Research 66, 4001- 4010, (2006).

  99. Nanog transforms NIH3T3 cells and targets cell-type restricted genes. Dan Piestun, Bose S. Kochupurakkal, Jasmine Jacob-Hirsch, Sharon Zeligson, Mark Koudritsky, Eytan Domany, Ninette Amariglio, Gideon Rechavi and David Givol. Biochemical and Biophysical Research Communications 343, 279–285 (2006).

  100. Alu elements contain many binding sites for transcription factors and may play a role in regulation of developmental processes. Paz Polak and Eytan Domany, BMC Genomics 7, 133 – 148 (2006).

  101. Gene Expression Profiles of AML Derived Stem Cells; Similarity to Hematopoietic Stem Cells. H Gal, N Amariglio, L Trakhtenbrot, J Jacob-Hirsh, O Margalit, A Avigdor, A Nagler, S Tavor, L Ein-Dor, T Lapidot, E Domany, G Rechavi and D Givol. Leukemia 20, 2147-2154 (2006).

  102. Prediction of Chromosomal Aneuploidy from Gene Expression Data. Libi Hertzberg, David R. Betts, Susana C. Raimondi, Beat W. Schäfer, Daniel A. Notterman, Eytan Domany, Shai Izraeli. Genes, Chromosomes and Cancer 46, 75-86 (2007).

  103. Advanced molecular profiling detects novel novel function of Dickkopf-3 in the regulation of bone formation. Hadi Aslan, Osnat Amir-Ravid, Brian M Clancy, Saeid Rezvankhah, Debra Pittman, Gadi Pelled, Gadi Turgeman, Yoram Zilberman, Zulma Gazit, Andrea Hoffmann, Gerhard Gross, Eytan Domany and Dan Gazit, Journal of Bone and Mineral Research 21, 1935-1945 (2006).

  104. TGF?-dependent gene expression profile during maturation of dendritic cells. Fainaru Ofer, Shay Tal, Hantisteanu Shay, Goldenberg Dalia, Domany Eytan and Groner Yoram, Genes and Immunity 8, 239 – 244 (2007)

  105. A module of negative feedback regulators defines growth factor signaling. Ido Amit, Ami Citri, Tal Shay, Yiling Lu, Menachem Katz, Fan Zhang, Gabi Tarcic, Doris Siwak, John Lahad, Jasmine Jacob-Hirsch, Ninette Amariglio, Nora Vaisman, Eran Segal, Gideon Rechavi, Uri Alon, Gordon B. Mills, Eytan Domany and Yosef Yarden, Nature Genetics 39, 503-512 (2007)

  106. STOP: searching for transcription factor motifs using gene expression. Libi Hertzberg, Shai Izraeli and Eytan Domany, Bioinformatics 23, 1737-1743 (2007)

  107. Expression of L1CAM and ADAM10 in human colon cancer cells induces metastasis. Nancy Gavert, Michal Sheffer, Shani Raveh, Simone Spaderna, Michael Shtutman, Thomas Brabletz, Francis Barany, Phillip Paty, Daniel Notterman, Eytan Domany and Avri Ben-Ze'ev, Cancer Research 67, 7703-7712 (2007)

  108. Molecular mechanisms of the chemopreventive effect on hepatocellular carcinoma development in Mdr2 knockout mice. Mark Katzenellenbogen, Mark, Lina Hila Barash, Eytan Domany, Eytan, Eithan Galun, Daniel Goldenberg, Molecular Cancer Therapeutics 6, 1283-1291 (2007).

  109. Genes overexpressed in different human solid cancers exhibit different tissue-specific expression profiles. Jacob Bock Axelsen, Joseph Lotem, Leo Sachs, and Eytan Domany, PNAS 104, 13122 – 13127 (2007)

  110. Wide-Scale Analysis of Human Functional Transcription Factor Binding Reveals a Strong Bias towards the Transcription Start Site. Yuval Tabach, Ran Brosh, Yossi Buganim, Anat Reiner, Or Zuk, Assif Yitzhaky, Mark Koudritsky, Varda Rotter and Eytan Domany, PLoS ONE 1, e807 (2007)

  111. Ranking Under Uncertainty. Liat Ein-Dor, Or Zuk and Eytan Domany, Proc. 23rd Conf. on Uncertainty in Artificial Intelligence, Cambridge, MA ( 2007).

  112. Non -Trivial Link Overlap Distribution in Three Dimensional Ising Spin Glasses. Guy Hed and Eytan Domany, Phys. Rev. B 76, 132408 (2007)

  113. Molecular Mechanisms of Liver Carcinogenesis in the Mdr2-Knockout Mice. Mark Katzenellenbogen, Lina Mizrahi, Orit Pappo, Naama Klopstock, Devorah Olam, Jasmine Jacob-Hirsch, Ninette Amariglio, Gideon Rechavi, Eytan Domany, Eithan Galun and Daniel Goldenberg. Mol Cancer Res 5, 1159-1169 (2007))

  114. Stem Cell-Related ”Self-Renewal Signature” and High EGFR Expression Associated with Resistance to Concomitant Chemo-radiotherapy in Glioblastoma. Anastasia Murat, Eugenia Migliavacca, Thierry Gorlia, Wanyu L. Lambiv, Tal Shay, Marie-France Hamou, Annie-Claire Diserens, Luca Regli, Wolfgang Wick, Mathilde C.M. Kouwenhoven, Johannes A. Hainfellner, Frank L. Heppner, Pierre-Yves Dietrich, Yitzhak Zimmer, David R. Macdonald, Abhijit Guha, Adrian Merlo, J. Gregory Cairncross, Nicolas de Tribolet, Robert-Charles Janzer, Eytan Domany, Mauro Delorenzi, Roger Stupp, and Monika E. Hegi. J. Clin. Onc. 26, 3016-3024 (2008)

  115. Reversible dysfunction of wild-type p53 following HIPK2 knock-down. R. Puca, L. Nardinocchi, H. Gal, G. Rechavi, N. Amariglio, E. Domany, D.A. Notterman, M. Scarsella, C. Leonetti, A. Sacchi, G. Blandino, D. Givol, G. D’Orazi. Cancer Research 68, 3707-3714 (2008).

  116. Positional distribution of human transcription factor binding sites. M. Koudritsky and E. Domany, Nucleic Acids Research 36. 6795-6805 (2008).

  117. Age-Dependent Spatial Memory Loss Can Be Partially Restored by Immune Activation. N. Ron-Harel, Y. Segev, G.M. Lewitus, M. Cardon, Y. Ziv, D. Netanely, J. Jacob-Hirsch, N. Amariglio, G. Rechavi, E. Domany, and M. Schwartz, Rejuvenation Research 11 (5) 903 – 913 (2008)

  118. PML, YAP, and p73 Are Components of a Proapoptotic Autoregulatory Feedback Loop. Eleonora Lapi, Silvia Di Agostino, Sara Donzelli, Hilah Gal, Eytan Domany, Gideon Rechavi, Pier Paolo Pandolfi, David Givol, Sabrina Strano, Xin Lu, and Giovanni Blandino, Molecular Cell 32, 803-814 (2008)

  119. Combining chromosomal arm status and significantly aberrant genomic locations reveals new cancer subtypes. Tal Shay, Wanyu L. Lambiv, Anat Reiner, Monika E. Hegi, Eytan Domany. Cancer Informatics 7; 91–104 (2009)

  120. Interspecies Comparison of Prostate Cancer Gene-Expression Profiles Reveals Genes Associated with Aggressive Tumors. Itai Kela, Alon Harmelin, Tova Waks, Avi Orr-Urtreger, Eytan Domany and Zelig Eshhar. The Prostate 69, 1034-1044 (2009)

  121. Association of survival and disease progression with chromosomal instability: a genomic exploration of colorectal cancer. Michal Sheffer, Manny D. Bacolod, Or Zuk, Sarah F. Giardina, Hanna Pincas, Francis Barany, Philip B. Paty, William L. Gerald, Daniel A. Notterman and Eytan Domany. PNAS 106, 7131-7136 (2009)

Conference Proceedings:

C1. Domain Growth Kinetics: Microscopic Derivation of the t^1/2 Law E. Domany and D. Kandel, in Cellular Automata and Modeling of Complex Physical Systems, ed. P. Manneville and R. Bideaux, Springer (1989).

C2. All-optical implementation of the inverted neural network model I. Shariv, T. Grossman, A. Friesem and E. Domany, Proc. ICO-15 Congress, Lanzl, Preuss and Weigelt eds. (SPIE 1990).

C3. Universality and Pattern Selection in Two-dimensional Cellular Structures, E. Domany, J. Stavans and D. Mukamel, in "Dynamical Phenomena and Interfaces, Surfaces and Membranes", Beysens, Boccara and Forgacs eds, Nova Science (1993)

C4. Clustering data through an analogy to the Potts model , M. Blatt, S. Wiseman, and E. Domany, Neural Information Processing Systems 8,416 (1996).

C5. Protein Folding in Contact Map Space , E. Domany, R. Najmanovich and M. Vendruscolo, Monte Carlo Approach to Biopolymers and Protein Folding, Julich 1997, World Scientific, Grassberger et al eds., p. 194 (1998)

C6. Super-paramagnetic clustering of data: application to computer vision , Eytan Domany, Marcelo Blatt,Yoram Gdalyahu and Daphna Weinshall, Conference on Computational Physics, Granada, 1998; Comp. Phys. Comm. 121-122, 5 (1999)

C7. Super-paramagnetic clustering of data - the definitive solution of an ill-posed problem , Eytan Domany, Progress in Statistical Physics, Proc. Choh Memorial Conference, Seoul 1997; World Scientific, p. 213 (1998)

C8. Super-paramagnetic clustering of data , Eytan Domany, Proc. STATPHYS20, Paris 1998; Physica A 263, 158 (1999)

C8. Protein folding in contact map space , Eytan Domany, Proc. Dynamic Days Asia-Pacific, Hong Kong, 1999; Physica A, in print

Theses:

T1. Renormalization Group Study of the Anderson Localization and Effect of Long Range Interaction on Solitons, Sanjoy K. Sarker, Ph. D. Thesis, Cornell University, May 1980

T2. The Z(5) Model on Square and Triangular Lattices: A Renormalization Group Study, Victor Mizrahi, M.Sc. Thesis, Weizmann Inst. of Science, Jan 1981

T3. Phase Transitions in Two-Dimensional Spin Models, Yoel Stavans, M.Sc. Thesis, Weizmann Inst. of Science, 1982

T4. Phase Transitions in Fully Frustrated Spin Systems, Mark Yosefin, M.Sc. Thesis, Weizmann Inst. of Science, March 1984

T5. Hopping on Hierarchical Linear Chain and Antiferromagnetic ANNI Model in a field, Yerucham Shapira, M.Sc. Thesis, Weizmann Inst. of Science, September 1985

T6. The Ising Model on the HCP Lattice, Ditza Auerbach, M.Sc. Thesis, Weizmann Inst. of Science, March 1986

T7. Anomalous Relaxation in Disordered Systems, David Kutasov, M.Sc. Thesis, Weizmann Inst. of Science, September 1986

T8. Feedforward Neural Networks as Associative Memories, Ronny Meir, Ph.D. Thesis, Weizmann Inst. of Science, August 1988

T9. Neural Networks with Optical Neurons, Harel Shouval, M.Sc. Thesis, Weizmann Inst. of Science, Jan 1990

T10. Learning by CHIR Without Storing Internal Representations, D. Nabutovsky, M.Sc. Thesis, Weizmann Inst. of Science, July 1990

T11. Aspects of Dynamics Near Phase Transitions: Cluster Monte Carlo Dynamics and Domain Growth Kinetics , D. Kandel, Ph.D. Thesis, Weizmann Inst. of Science, June 1991

T12. Learning, Capacity and Implementation of Neural Network Models, Tal Grossman, Ph.D. Thesis, Weizmann Inst. of Science, Dec 1992

T13. A Cluster Method for the Ashkin-Teller Model, S. Wiseman, M.Sc. Thesis, Weizmann Inst. of Science, Jan 1993

T14. Some Aspects of the Hubbard Model, O. Megged, M.Sc. Thesis, Weizmann Inst. of Science, Feb 1993

T15. A Neural Network Classifier in Experimental Particle Physics, A. Handzel, M.Sc. Thesis, Weizmann Inst. of Science, Feb 1993

T16. A. Priel, Computational Capabilities of Restricted Two-Layer Perceptrons , A. Priel, M.Sc. Thesis, Weizmann Inst. of Science, Oct 1993

T17. Protein Fold Recognition and Dynamics in the Space of Contact Maps L. Mirny, M.Sc. Thesis, Weizmann Inst. of Science, Aug 1994.

T18. Forecasting Time-Series Using Mixtures of Adaptive Experts M. Kovalenko, M.Sc. Thesis, Weizmann Inst of Science, Jan 1996

T19. Pattern Formation in the First Stages of the Visual Pathway: from Single Cell Receptive Field to Cortical Maps Y. Cohen, M. Sc. Thesis, Weizmann Inst of Science, Jan 1996

T20. Neural Networks and Clustering of Data Marcelo Blatt, Ph.D. Thesis, Weizmann Inst. of Science, April 1997.

T21. Non-equilibrium Scaling Phenomena B. Levitan, Ph.D. Thesis, Weizmann Inst of Science, June 1997

T22. Aspects of Disordered Spin Systems in Equilibrium Shai Wiseman, Ph.D. Thesis, Weizmann Inst of Science, Feb 1998

T23. Classification and Clustering of Protein Structures Gaddy Getz, M. Sc. Thesis, Tel Aviv University, Nov 1998

T24. Unsupervised Estimation of Cluster Validity - Method and Applications Erel Levine, M. Sc. Thesis, Weizmann Inst of Science , Nov 2000

T25. The Nature of the Spin Glass Phase in Finite Dimension: Correlated Spin Domains Generate Hierarchical Structure in State Space, Guy Hed, M. Sc. Thesis, Weizmann Inst of Science , Jan 2001

T26. Clustering Analysis of Biochemical Chips, Dror Mirzayoff, M. Sc. Thesis, Weizmann Inst of Science, March 2001

T27. Clustering of Gene Expression Data, Itai Kela, M. Sc. Thesis, Weizmann Inst of Science, March 2002

T28. Genome-wide Expression Analysis Using Novel Clustering Methods: Implications for Colon and Skin Cancer. Hilah Gal, M. Sc. Thesis, Weizmann Inst of Science, Jan 2003

T29. DNA Microarray Analysis Using Statistical Methods and Clustering; Three Case Studies. Osnat Ravid-Amir, M. Sc. Thesis, Weizmann Inst of Science, Feb 2001

T30. Advanced Clustering Algorithm for Gene Expression Analysis using Statistical Physics Methods. Omer Barad, M. Sc. Thesis, Weizmann Inst of Science, 2003

T31. Class Discovery in Acute Lymphoblastic Leukemia using Gene Expression Analysis. Uri Einav, M. Sc. Thesis, Weizmann Inst of Science, 2003

T32. Large Scale Analysis of Biological Data using Physically Motivated Techniques. Gad Getz, Ph. D. Thesis, Weizmann Inst of Science, 2003

T33. Probabilistic Motif Searching, Libi Hertzberg, M. Sc. Thesis, Weizmann Inst of Science, 2003

T34. The Secret of Stem Cells; Transcriptional Profiling of Human Stem Cells Michal Golan-Mashiach, M. Sc. Thesis, Weizmann Inst of Science, 2003

T35. Antigen Chips - Development and Analysis: Application to Autoimmune Diseases Gad Elizur, M. Sc. Thesis, Weizmann Inst of Science, 2003

T36. Analysis of Gene Expression Data from Normal Human Tissues, Hila Benjamin-Rodrig, M. Sc. Thesis, Weizmann Inst of Science, 2004

T37. Promoters Of Clusters. Yuval Tabach, M. Sc. Thesis, Weizmann Inst of Science, 2004

T38. Genome Wide Expression Analysis of Colorectal Cancer and Cervical Cancer. Michal Sheffer, M. Sc. Thesis, Weizmann Inst of Science, 2005

T39. A Method For Reconstructing Transcriptional Regulatory Networks. Shiri Margel, M. Sc. Thesis, Weizmann Inst of Science, 2005

T40. Alu elements contain many binding sites for transcription factors and may play a role in regulation of developmental processes. Paz Polak, M. Sc. Thesis, Weizmann Inst of Science, 2006

T41. Prediction of outcome of breast cancer at the time of diagnosis. Garold Fuks, M. Sc. Thesis, Weizmann Inst of Science, 2006

T42. Gene expression analysis of mesenchymal stem cell differentiation and leukemic over-expression of tissue specific genes. Dvir Netanely, M. Sc. Thesis, Weizmann Inst of Science, 2006

Eytan Domany