| 2006 |
|---|
| 9 | EE | Dana Pe'er,
Amos Tanay,
Aviv Regev:
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals.
Journal of Machine Learning Research 7: 167-189 (2006) |
| 2005 |
|---|
| 8 | EE | Eran Segal,
Dana Pe'er,
Aviv Regev,
Daphne Koller,
Nir Friedman:
Learning Module Networks.
Journal of Machine Learning Research 6: 557-588 (2005) |
| 2004 |
|---|
| 7 | EE | Karen Sachs,
Omar D. Perez,
Dana Pe'er,
Garry P. Nolan,
David K. Gifford,
Tommi Jaakkola,
Douglas A. Lauffenburger:
Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data.
CSB 2004: 644 |
| 2003 |
|---|
| 6 | | Eran Segal,
Dana Pe'er,
Aviv Regev,
Daphne Koller,
Nir Friedman:
Learning Module Networks.
UAI 2003: 525-534 |
| 2002 |
|---|
| 5 | | Dana Pe'er,
Aviv Regev,
Amos Tanay:
Minreg: Inferring an active regulator set.
ISMB 2002: 258-267 |
| 2001 |
|---|
| 4 | | Dana Pe'er,
Aviv Regev,
Gal Elidan,
Nir Friedman:
Inferring subnetworks from perturbed expression profiles.
ISMB (Supplement of Bioinformatics) 2001: 215-224 |
| 2000 |
|---|
| 3 | EE | Nir Friedman,
Michal Linial,
Iftach Nachman,
Dana Pe'er:
Using Bayesian networks to analyze expression data.
RECOMB 2000: 127-135 |
| 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 |
