default search action
Dana Pe'er
Person information
- affiliation: Columbia University, New York City, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c10]Doron Haviv, Russell Zhang Kunes, Thomas Dougherty, Cassandra Burdziak, Tal Nawy, Anna Gilbert, Dana Pe'er:
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer. ICML 2024 - [i6]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 abs/2404.09411 (2024) - [i5]Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos:
Wasserstein Flow Matching: Generative modeling over families of distributions. CoRR abs/2411.00698 (2024) - 2023
- [j8]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): 394-403 (2023) - [c9]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: 8405-8412 - 2022
- [i4]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 abs/2208.06124 (2022)
2010 – 2019
- 2019
- [j7]Sonja Nowotschin, Manu Setty, Ying-Yi Kuo, Vincent Liu
The emergent landscape of the mouse gut endoderm at single-cell resolution. Nat. 569(7756): 361-367 (2019) - [i3]Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er:
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks. CoRR abs/1902.08138 (2019) - 2016
- [c8]Sandhya Prabhakaran, Elham Azizi, Ambrose J. Carr, Dana Pe'er:
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data. ICML 2016: 1070-1079 - 2013
- [c7]Smita Krishnaswamy, Bernd Bodenmiller, Dana Pe'er:
Can CAD cure cancer? DAC 2013: 142:1-142:2 - [i2]Nir Friedman, Iftach Nachman, Dana Pe'er:
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. CoRR abs/1301.6696 (2013) - 2012
- [j6]Aris Floratos, Barry Honig
Using systems and structure biology tools to dissect cellular phenotypes. J. Am. Medical Informatics Assoc. 19(2): 171-175 (2012) - [i1]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. CoRR abs/1212.2517 (2012) - 2010
- [j5]Felix Sanchez-Garcia, Uri David Akavia, Eyal Mozes, Dana Pe'er
JISTIC: Identification of Significant Targets in Cancer. BMC Bioinform. 11: 189 (2010)
2000 – 2009
- 2009
- [j4]Karen Sachs, Solomon Itani, Jennifer Carlisle, Garry P. Nolan
Learning Signaling Network Structures with Sparsely Distributed Data. J. Comput. Biol. 16(2): 201-212 (2009) - 2006
- [j3]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: 167-189 (2006) - 2005
- [j2]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. J. Mach. Learn. Res. 6: 557-588 (2005) - 2004
- [c6]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: 644 - 2003
- [b1]Dana Pe'er:
From gene expression to molecular pathways (מביטוי גנים למסלולים מולקולריים.). Hebrew University of Jerusalem, Israel, 2003 - [c5]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. UAI 2003: 525-534 - 2002
- [c4]Dana Pe'er, Aviv Regev, Amos Tanay:
Minreg: Inferring an active regulator set. ISMB 2002: 258-267 - 2001
- [c3]Dana Pe'er, Aviv Regev, Gal Elidan, Nir Friedman:
Inferring subnetworks from perturbed expression profiles. ISMB (Supplement of Bioinformatics) 2001: 215-224 - 2000
- [j1]Nir Friedman
Using Bayesian Networks to Analyze Expression Data. J. Comput. Biol. 7(3-4): 601-620 (2000) - [c2]Nir Friedman
Using Bayesian networks to analyze expression data. RECOMB 2000: 127-135
1990 – 1999
- 1999
- [c1]Nir Friedman, Iftach Nachman, Dana Pe'er:
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. UAI 1999: 206-215
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 20:58 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: