 | 2009 |
|---|
| 12 |       | Chen Yanover,
Mona Singh,
Elena Zaslavsky:
M are better than one: an ensemble-based motif finder and its application to regulatory element prediction.
Bioinformatics 25(7): 868-874 (2009) |
| 2008 |
|---|
| 11 | | Menachem Fromer,
Chen Yanover:
A computational framework to empower probabilistic protein design.
ISMB 2008: 214-222 |
| 10 | | Chen Yanover,
Ora Schueler-Furman,
Yair Weiss:
Minimizing and Learning Energy Functions for Side-Chain Prediction.
Journal of Computational Biology 15(7): 899-911 (2008) |
| 2007 |
|---|
| 9 | | Chen Yanover,
Ora Schueler-Furman,
Yair Weiss:
Minimizing and Learning Energy Functions for Side-Chain Prediction.
RECOMB 2007: 381-395 |
| 8 | | Tomer Hertz,
Chen Yanover:
Identifying HLA supertypes by learning distance functions.
Bioinformatics 23(2): 148-155 (2007) |
| 7 | | Chen Yanover,
Menachem Fromer,
Julia M. Shifman:
Dead-end elimination for multistate protein design.
Journal of Computational Chemistry 28(13): 2122-2129 (2007) |
| 2006 |
|---|
| 6 | | Tomer Hertz,
Chen Yanover:
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions.
BMC Bioinformatics 7(S-1): (2006) |
| 5 | | Chen Yanover,
Talya Meltzer,
Yair Weiss:
Linear Programming Relaxations and Belief Propagation - An Empirical Study.
Journal of Machine Learning Research 7: 1887-1907 (2006) |
| 2005 |
|---|
| 4 | | Talya Meltzer,
Chen Yanover,
Yair Weiss:
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation.
ICCV 2005: 428-435 |
| 3 | | Chen Yanover,
Tomer Hertz:
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions.
RECOMB 2005: 456-471 |
| 2003 |
|---|
| 2 | | Chen Yanover,
Yair Weiss:
Finding the M Most Probable Configurations in Arbitrary Graphical Models.
NIPS 2003 |
| 2002 |
|---|
| 1 | | Chen Yanover,
Yair Weiss:
Approximate Inference and Protein-Folding.
NIPS 2002: 1457-1464 |
