Iftach Nachman

	2009
10		Iftach Nachman, Aviv Regev: BRNI: Modular analysis of transcriptional regulatory programs. BMC Bioinformatics 10: (2009)
	2007
9		Gal Elidan, Iftach Nachman, Nir Friedman: "Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. Journal of Machine Learning Research 8: 1799-1833 (2007)
	2004
8		Iftach Nachman, Aviv Regev, Nir Friedman: Inferring quantitative models of regulatory networks from expression data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 248-256
7		Iftach Nachman, Gal Elidan, Nir Friedman: "Ideal Parent" Structure Learning for Continuous Variable Networks. UAI 2004: 400-409
	2000
6		Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er: Using Bayesian networks to analyze expression data. RECOMB 2000: 127-135
5		Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini: Tissue classification with gene expression profiles. RECOMB 2000: 54-64
4		Nir Friedman, Iftach Nachman: Gaussian Process Networks. UAI 2000: 211-219
3		Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini: Tissue Classification with Gene Expression Profiles. Journal of Computational Biology 7(3-4): 559-583 (2000)
2		Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er: Using Bayesian Networks to Analyze Expression Data. Journal of Computational Biology 7(3-4): 601-620 (2000)
	1999
1		Nir Friedman, Iftach Nachman, Dana Pe'er: Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. UAI 1999: 206-215

Coauthor Index

1	Amir Ben-Dor	[3] [5]
2	Laurakay Bruhn	[3] [5]
3	Gal Elidan	[7] [9]
4	Nir Friedman	[1] [2] [3] [4] [5] [6] [7] [8] [9]
5	Michal Linial	[2] [6]
6	Dana Pe'er	[1] [2] [6]
7	Aviv Regev	[8] [10]
8	Michèl Schummer	[3] [5]
9	Zohar Yakhini	[3] [5]

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