Dana Pe'er

According to our database, Dana Pe'er authored at least 17 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

scKINETICS: inference of regulatory velocity with single-cell transcriptomics data.

Cassandra Burdziak, Chujun Julia Zhao, Doron Haviv, Direna Alonso-Curbelo, Scott W. Lowe, Dana Pe'er

Bioinform., 2023

Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping.

Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2019

The emergent landscape of the mouse gut endoderm at single-cell resolution.

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

Nat., 2019

A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks.

Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er

CoRR, 2019

2016

Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.

Sandhya Prabhakaran, Elham Azizi, Ambrose J. Carr, Dana Pe'er

Proceedings of the 33nd International Conference on Machine Learning, 2016

2013

Can CAD cure cancer?

Smita Krishnaswamy, Bernd Bodenmiller, Dana Pe'er

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012

Using systems and structure biology tools to dissect cellular phenotypes.

Aris Floratos, Barry Honig, Dana Pe'er, Andrea Califano

J. Am. Medical Informatics Assoc., 2012

2010

JISTIC: Identification of Significant Targets in Cancer.

Felix Sanchez-Garcia, Uri David Akavia, Eyal Mozes, Dana Pe'er

BMC Bioinform., 2010

2009

Learning Signaling Network Structures with Sparsely Distributed Data.

Karen Sachs, Solomon Itani, Jennifer Carlisle, Garry P. Nolan, Dana Pe'er, Douglas A. Lauffenburger

J. Comput. Biol., 2009

2006

MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals.

Dana Pe'er, Amos Tanay, Aviv Regev

J. Mach. Learn. Res., 2006

2005

Learning Module Networks.

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

J. Mach. Learn. Res., 2005

2004

Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data.

Karen Sachs, Omar D. Perez, Dana Pe'er, Garry P. Nolan, David K. Gifford, Tommi S. Jaakkola, Douglas A. Lauffenburger

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

From gene expression to molecular pathways (מביטוי גנים למסלולים מולקולריים.).

Dana Pe'er

PhD thesis, 2003

2002

Minreg: Inferring an active regulator set.

Dana Pe'er, Aviv Regev, Amos Tanay

Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

2001

Inferring subnetworks from perturbed expression profiles.

Dana Pe'er, Aviv Regev, Gal Elidan, Nir Friedman

Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

2000

Using Bayesian Networks to Analyze Expression Data.

Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er

J. Comput. Biol., 2000

1999

Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm.

Nir Friedman, Iftach Nachman, Dana Pe'er

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999