| 2004 |
|---|
| 8 | EE | Iftach Nachman,
Aviv Regev,
Nir Friedman:
Inferring quantitative models of regulatory networks from expression data.
ISMB/ECCB (Supplement of Bioinformatics) 2004: 248-256 |
| 7 | EE | Iftach Nachman,
Gal Elidan,
Nir Friedman:
"Ideal Parent" Structure Learning for Continuous Variable Networks.
UAI 2004: 400-409 |
| 2000 |
|---|
| 6 | EE | Nir Friedman,
Michal Linial,
Iftach Nachman,
Dana Pe'er:
Using Bayesian networks to analyze expression data.
RECOMB 2000: 127-135 |
| 5 | EE | Amir Ben-Dor,
Laurakay Bruhn,
Nir Friedman,
Iftach Nachman,
Michèl Schummer,
Zohar Yakhini:
Tissue classification with gene expression profiles.
RECOMB 2000: 54-64 |
| 4 | EE | 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 | EE | Nir Friedman,
Iftach Nachman,
Dana Pe'er:
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm.
UAI 1999: 206-215 |
