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ORCIDIftach Nachman
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2010 – 2019
- 2013
[i3]Nir Friedman, Iftach Nachman:
Gaussian Process Networks. CoRR abs/1301.3857 (2013)- [i2]Nir Friedman, Iftach Nachman, Dana Pe'er:
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. CoRR abs/1301.6696 (2013) - 2012
- [i1]Iftach Nachman, Gal Elidan, Nir Friedman:
"Ideal Parent" Structure Learning for Continuous Variable Networks. CoRR abs/1207.4133 (2012)
2000 – 2009
- 2009
- [j4]Iftach Nachman
, Aviv Regev:
BRNI: Modular analysis of transcriptional regulatory programs. BMC Bioinform. 10 (2009) - 2007
- [j3]Gal Elidan, Iftach Nachman, Nir Friedman:
"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. J. Mach. Learn. Res. 8: 1799-1833 (2007) - 2004
- [b1]Iftach Nachman:
Probabilistic modeling of gene regulatory networks from data (מידול הסתברותי של רשתות בקרה גנטית מנתונים.). Hebrew University of Jerusalem, Israel, 2004 - [c6]Iftach Nachman, Aviv Regev, Nir Friedman:
Inferring quantitative models of regulatory networks from expression data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 248-256 - [c5]Iftach Nachman, Gal Elidan, Nir Friedman:
"Ideal Parent" Structure Learning for Continuous Variable Networks. UAI 2004: 400-409 - 2000
- [j2]Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini:
Tissue Classification with Gene Expression Profiles. J. Comput. Biol. 7(3-4): 559-583 (2000) - [j1]Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er:
Using Bayesian Networks to Analyze Expression Data. J. Comput. Biol. 7(3-4): 601-620 (2000) - [c4]Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini:
Tissue classification with gene expression profiles. RECOMB 2000: 54-64 - [c3]Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er:
Using Bayesian networks to analyze expression data. RECOMB 2000: 127-135 - [c2]Nir Friedman, Iftach Nachman:
Gaussian Process Networks. UAI 2000: 211-219
1990 – 1999
- 1999
- [c1]Nir Friedman, Iftach Nachman, Dana Pe'er:
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. UAI 1999: 206-215
Coauthor Index
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