Dana Pe'er

Orcid: 0000-0002-9259-8817

Affiliations:
  • Columbia University, New York City, USA


According to our database1, Dana Pe'er authored at least 19 papers between 1999 and 2024.

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Timeline

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Bibliography

2024
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers.
CoRR, 2024

Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
scKINETICS: inference of regulatory velocity with single-cell transcriptomics data.
Bioinform., 2023

Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2019
The emergent landscape of the mouse gut endoderm at single-cell resolution.
Nat., 2019

A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks.
CoRR, 2019

2016
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2013
Can CAD cure cancer?
Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012
Using systems and structure biology tools to dissect cellular phenotypes.
J. Am. Medical Informatics Assoc., 2012

2010
JISTIC: Identification of Significant Targets in Cancer.
BMC Bioinform., 2010

2009
Learning Signaling Network Structures with Sparsely Distributed Data.
J. Comput. Biol., 2009

2006
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals.
J. Mach. Learn. Res., 2006

2005
Learning Module Networks.
J. Mach. Learn. Res., 2005

2004
Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003
From gene expression to molecular pathways (מביטוי גנים למסלולים מולקולריים.).
PhD thesis, 2003

2002
Minreg: Inferring an active regulator set.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

2001
Inferring subnetworks from perturbed expression profiles.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

2000
Using Bayesian Networks to Analyze Expression Data.
J. Comput. Biol., 2000

1999
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999


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