Iftach Nachman Relaxing in the sun


As of September 2009, I have moved to the Department of Biochemistry, Tel Aviv University (link).

I used to be a postdoc at the FAS center for systems biology (Harvard) and the Broad Institute.

My research interests include: Timing and phenotypic variability in developmental processes in cell populations, evolution and structure of signaling networks, modeling gene regulatory networks, analysis methods for gene expression, learning and representation in probabilistic graphical models.

Teaching

Spring 2004: Computational Methods in Molecular Biology
Spring 2003: Computational Methods in Molecular Biology (TA)

Publications

 

·  BRNI: Integrated modular analysis of transcriptional regulatory programs.
with A. Regev
BMC Bioinformatics 2009, 10:155
 

·  HIV-1 positive feedback and lytic fate.
with S. Ramanathan
Nat Genet. 2008 Apr;40(4):382-3. [News & Views].
 

·  Dissecting Timing Variability in Yeast Meiosis
with A. Regev and S. Ramanathan
Cell 131, 544-556. 2007
 

·  ``Ideal Parent'' Structure Learning for Continuous Variable Networks
with G. Elidan and N. Friedman
JMLR 8(Aug):1799-1833, 2007
 

·  Probabilistic Modeling of Gene Regulatory Networks From Data (pdf with hyperlinks)
PhD thesis, Hebrew University, November 2004
 

·  Inferring Quantitative Models of Regulatory Networks From Expression Data (pdf)
with A. Regev and N. Friedman
Bioinformatics. 2004 Aug 4;20 Suppl 1:I248-I256
 

·  ``Ideal Parent'' Structure Learning for Continuous Variable Networks (pdf)
with G. Elidan and N. Friedman
In Proc. Twentieth Conf. on Uncertainty in Artificial Intelligence (UAI), 2004. Runner-up for Best Student paper award.
 

·  Gaussian Process Networks (pdf)
with  N. Friedman
In Proc. Sixteenth Conf. on Uncertainty in Artificial Intelligence (UAI), 2000
 

·  Using Bayesian Networks to Analyze Expression Data (pdf)
with N. Friedman , M. Linial and D. Pe'er
J Comput. Biol. 2000;7(3-4):601-20
conference version appeared in Proc. The Fourth Annual International Conference on Computational Molecular Biology (RECOMB), 2000
 

·  Tissue Classification with Gene Expression Profiles (pdf)
with A. Ben-Dor, L. Bruhn, N. Friedman ,  M. Schummer and Z. Yakhini
J Comput. Biol. 2000;7(3-4):559-83
conference version  appeared in Proc. The Fourth Annual International Conference on Computational Molecular Biology (RECOMB), 2000
 

·  Learning Bayesian Network Structure from Massive Datasets: The ``Sparse Candidate'' Algorithm (pdf)
with  N. Friedman  and  D. Pe'er
In Proc. Fifteenth Conf. on Uncertainty in Artificial Intelligence (UAI), 1999

Serious stuff

The Riddle Page

 

Contact  Info

See the (TAU site).