Dana Pe'er

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 7

Top Topics

Structural Svms

Latent Variables

Gene Regulatory Networks

Top Venues

Publications

Doron Haviv, Russell Zhang Kunes, Thomas Dougherty, Cassandra Burdziak, Tal Nawy, Anna Gilbert, Dana Pe'er
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers. CoRR (2024)
Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. AAAI (2023)
Cassandra Burdziak, Chujun Julia Zhao, Doron Haviv, Direna Alonso-Curbelo, Scott W. Lowe, Dana Pe'er
scKINETICS: inference of regulatory velocity with single-cell transcriptomics data. Bioinform. 39 (Supplement-1) (2023)
Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. CoRR (2022)
Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks. CoRR (2019)
Sonja Nowotschin, Manu Setty, Ying-Yi Kuo, Vincent Liu, Vidur Garg, Roshan Sharma, Claire S. Simon, Nestor Saiz, Rui Gardner, Stéphane C. Boutet, Deanna M. Church, Pamela A. Hoodless, Anna-Katerina Hadjantonakis, Dana Pe'er
The emergent landscape of the mouse gut endoderm at single-cell resolution. Nat. 569 (7756) (2019)
Sandhya Prabhakaran, Elham Azizi, Ambrose Carr, Dana Pe'er
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data. ICML (2016)
Nir Friedman, Iftach Nachman, Dana Pe'er
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm CoRR (2013)
Smita Krishnaswamy, Bernd Bodenmiller, Dana Pe'er
Can CAD cure cancer? DAC (2013)
Aris Floratos, Barry Honig, Dana Pe'er, Andrea Califano
Using systems and structure biology tools to dissect cellular phenotypes. J. Am. Medical Informatics Assoc. 19 (2) (2012)
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
Learning Module Networks CoRR (2012)
Felix Sanchez-Garcia, Uri David Akavia, Eyal Mozes, Dana Pe'er
JISTIC: Identification of Significant Targets in Cancer. BMC Bioinform. 11 (2010)
Karen Sachs, Solomon Itani, Jennifer Carlisle, Garry P. Nolan, Dana Pe'er, Douglas A. Lauffenburger
Learning Signaling Network Structures with Sparsely Distributed Data. J. Comput. Biol. 16 (2) (2009)
Dana Pe'er, Amos Tanay, Aviv Regev
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals. J. Mach. Learn. Res. 7 (2006)
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
Learning Module Networks. J. Mach. Learn. Res. 6 (2005)
Karen Sachs, Omar D. Perez, Dana Pe'er, Garry P. Nolan, David K. Gifford, Tommi S. Jaakkola, Douglas A. Lauffenburger
Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data. CSB (2004)
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
Learning Module Networks. UAI (2003)
Dana Pe'er, Aviv Regev, Amos Tanay
Minreg: Inferring an active regulator set. ISMB (2002)
Dana Pe'er, Aviv Regev, Gal Elidan, Nir Friedman
Inferring subnetworks from perturbed expression profiles. ISMB (Supplement of Bioinformatics) (2001)
Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
Using Bayesian Networks to Analyze Expression Data. J. Comput. Biol. 7 (3-4) (2000)
Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
Using Bayesian networks to analyze expression data. RECOMB (2000)
Nir Friedman, Iftach Nachman, Dana Pe'er
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. UAI (1999)