Bioinformatics and Biology
Citations refer to
Papers (since 1989)
My main current interests are in biology; in particular, analysis and
interpretation of data from high-throughput experiments. Building on SPC,
our previously invented clustering method
[28] ,
we developed Coupled Two-Way Clustering (CTWC) ,
a novel way to bi-cluster gene expression data
[57]
. Subsequently we introduced Sorting Points Into Neighborhoods (SPIN)
a novel method for unsupervised data analysis. Both SPC and CTWC, as well as SPIN were applied
to analyse data obtained by a variety of groups collaborating groups. Mostly we
study human or murine samples, with emphasis on studies of cancer.
The data come from either controlled experiments on cells grown under various
conditions, e.g.
[63] ,
[71] ,
[73] ,
[79] ,
[87] ,
or from malignant tissue samples collected in various medical research centers,
such as glioma,
[67] ,
colon cancer
[69] ,
leukemia
[72] ,
cervical cancer
[91]
and breast cancer
[80] ,
[97] .
We are involved in elucidating
the connections to aneuploidy, chromosomal instabilities leading to
aberrant gene copy number and malignancy
[94] ,
[102] .
Our studies of embryonic and adult stem
cells and comparison of their expression profiles to adult cells
[81]
, [82]
led us to
formulate a design principle, "Just In Time" used by stem cells
to guarantee fast response to external signals that guide differentiation.
Currently we are involved in studies of cancer stem cells
, [101]
Another line of research is focused on interpreting
"fingerprints" of the immune system, obtained by antigen chips
[65] ,
[78] .
For a more complete and updated survey of the group, its activities and
collaborating labs see
Computational Physics and Bioinformatics Group
Eytan Domany