Iftach Nachman

14 papers A 3B 2Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	Gaussian Process Networks CoRR Nir Friedman, Iftach Nachman
2013	J	`jnl`	Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm CoRR Nir Friedman, Iftach Nachman, Dana Pe'er
2012	J	`jnl`	"Ideal Parent" Structure Learning for Continuous Variable Networks CoRR Iftach Nachman, Gal Elidan, Nir Friedman
2009	J	`jnl`	BRNI: Modular analysis of transcriptional regulatory programs. BMC Bioinform. Iftach Nachman, Aviv Regev
2007	J	`jnl`	"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. J. Mach. Learn. Res. Gal Elidan, Iftach Nachman, Nir Friedman
2004	A	`conf`	"Ideal Parent" Structure Learning for Continuous Variable Networks. UAI Iftach Nachman, Gal Elidan, Nir Friedman
2004	—	`conf`	Inferring quantitative models of regulatory networks from expression data. ISMB/ECCB (Supplement of Bioinformatics) Iftach Nachman, Aviv Regev, Nir Friedman
2004	—	`—`	Probabilistic modeling of gene regulatory networks from data (מידול הסתברותי של רשתות בקרה גנטית מנתונים.). Iftach Nachman
2000	A	`conf`	Gaussian Process Networks. UAI Nir Friedman, Iftach Nachman
2000	J	`jnl`	Tissue Classification with Gene Expression Profiles. J. Comput. Biol. Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini
2000	B	`conf`	Tissue classification with gene expression profiles. RECOMB Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini
2000	J	`jnl`	Using Bayesian Networks to Analyze Expression Data. J. Comput. Biol. Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
2000	B	`conf`	Using Bayesian networks to analyze expression data. RECOMB Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
1999	A	`conf`	Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. UAI Nir Friedman, Iftach Nachman, Dana Pe'er