BibTeX records: Dana Pe'er

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@article{DBLP:journals/bioinformatics/BurdziakZHALP23,
  author       = {Cassandra Burdziak and
                  Chujun Julia Zhao and
                  Doron Haviv and
                  Direna Alonso{-}Curbelo and
                  Scott W. Lowe and
                  Dana Pe'er},
  title        = {scKINETICS: inference of regulatory velocity with single-cell transcriptomics
                  data},
  journal      = {Bioinform.},
  volume       = {39},
  number       = {Supplement-1},
  pages        = {394--403},
  year         = {2023}
}
@inproceedings{DBLP:conf/aaai/KunesYLHPT23,
  author       = {Russell Z. Kunes and
                  Mingzhang Yin and
                  Max Land and
                  Doron Haviv and
                  Dana Pe'er and
                  Simon Tavar{\'{e}}},
  title        = {Gradient Estimation for Binary Latent Variables via Gradient Variance
                  Clipping},
  booktitle    = {{AAAI}},
  pages        = {8405--8412},
  publisher    = {{AAAI} Press},
  year         = {2023}
}
@article{DBLP:journals/corr/abs-2208-06124,
  author       = {Russell Z. Kunes and
                  Mingzhang Yin and
                  Max Land and
                  Doron Haviv and
                  Dana Pe'er and
                  Simon Tavar{\'{e}}},
  title        = {Gradient Estimation for Binary Latent Variables via Gradient Variance
                  Clipping},
  journal      = {CoRR},
  volume       = {abs/2208.06124},
  year         = {2022}
}
@article{DBLP:journals/nature/NowotschinSKLGS19,
  author       = {Sonja Nowotschin and
                  Manu Setty and
                  Ying{-}Yi Kuo and
                  Vincent Liu and
                  Vidur Garg and
                  Roshan Sharma and
                  Claire S. Simon and
                  Nestor Saiz and
                  Rui Gardner and
                  St{\'{e}}phane C. Boutet and
                  Deanna M. Church and
                  Pamela A. Hoodless and
                  Anna{-}Katerina Hadjantonakis and
                  Dana Pe'er},
  title        = {The emergent landscape of the mouse gut endoderm at single-cell resolution},
  journal      = {Nat.},
  volume       = {569},
  number       = {7756},
  pages        = {361--367},
  year         = {2019}
}
@article{DBLP:journals/corr/abs-1902-08138,
  author       = {Cassandra Burdziak and
                  Elham Azizi and
                  Sandhya Prabhakaran and
                  Dana Pe'er},
  title        = {A Nonparametric Multi-view Model for Estimating Cell Type-Specific
                  Gene Regulatory Networks},
  journal      = {CoRR},
  volume       = {abs/1902.08138},
  year         = {2019}
}
@inproceedings{DBLP:conf/icml/PrabhakaranACP16,
  author       = {Sandhya Prabhakaran and
                  Elham Azizi and
                  Ambrose J. Carr and
                  Dana Pe'er},
  title        = {Dirichlet Process Mixture Model for Correcting Technical Variation
                  in Single-Cell Gene Expression Data},
  booktitle    = {{ICML}},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {48},
  pages        = {1070--1079},
  publisher    = {JMLR.org},
  year         = {2016}
}
@inproceedings{DBLP:conf/dac/KrishnaswamyBP13,
  author       = {Smita Krishnaswamy and
                  Bernd Bodenmiller and
                  Dana Pe'er},
  title        = {Can {CAD} cure cancer?},
  booktitle    = {{DAC}},
  pages        = {142:1--142:2},
  publisher    = {{ACM}},
  year         = {2013}
}
@article{DBLP:journals/corr/abs-1301-6696,
  author       = {Nir Friedman and
                  Iftach Nachman and
                  Dana Pe'er},
  title        = {Learning Bayesian Network Structure from Massive Datasets: The "Sparse
                  Candidate" Algorithm},
  journal      = {CoRR},
  volume       = {abs/1301.6696},
  year         = {2013}
}
@article{DBLP:journals/jamia/FloratosHPC12,
  author       = {Aris Floratos and
                  Barry Honig and
                  Dana Pe'er and
                  Andrea Califano},
  title        = {Using systems and structure biology tools to dissect cellular phenotypes},
  journal      = {J. Am. Medical Informatics Assoc.},
  volume       = {19},
  number       = {2},
  pages        = {171--175},
  year         = {2012}
}
@article{DBLP:journals/corr/abs-1212-2517,
  author       = {Eran Segal and
                  Dana Pe'er and
                  Aviv Regev and
                  Daphne Koller and
                  Nir Friedman},
  title        = {Learning Module Networks},
  journal      = {CoRR},
  volume       = {abs/1212.2517},
  year         = {2012}
}
@article{DBLP:journals/bmcbi/Sanchez-GarciaAMP10,
  author       = {Felix Sanchez{-}Garcia and
                  Uri David Akavia and
                  Eyal Mozes and
                  Dana Pe'er},
  title        = {{JISTIC:} Identification of Significant Targets in Cancer},
  journal      = {{BMC} Bioinform.},
  volume       = {11},
  pages        = {189},
  year         = {2010}
}
@article{DBLP:journals/jcb/SachsICNPL09,
  author       = {Karen Sachs and
                  Solomon Itani and
                  Jennifer Carlisle and
                  Garry P. Nolan and
                  Dana Pe'er and
                  Douglas A. Lauffenburger},
  title        = {Learning Signaling Network Structures with Sparsely Distributed Data},
  journal      = {J. Comput. Biol.},
  volume       = {16},
  number       = {2},
  pages        = {201--212},
  year         = {2009}
}
@article{DBLP:journals/jmlr/PeerTR06,
  author       = {Dana Pe'er and
                  Amos Tanay and
                  Aviv Regev},
  title        = {MinReg: {A} Scalable Algorithm for Learning Parsimonious Regulatory
                  Networks in Yeast and Mammals},
  journal      = {J. Mach. Learn. Res.},
  volume       = {7},
  pages        = {167--189},
  year         = {2006}
}
@article{DBLP:journals/jmlr/SegalPRKF05,
  author       = {Eran Segal and
                  Dana Pe'er and
                  Aviv Regev and
                  Daphne Koller and
                  Nir Friedman},
  title        = {Learning Module Networks},
  journal      = {J. Mach. Learn. Res.},
  volume       = {6},
  pages        = {557--588},
  year         = {2005}
}
@inproceedings{DBLP:conf/csb/SachsPPNGJL04,
  author       = {Karen Sachs and
                  Omar D. Perez and
                  Dana Pe'er and
                  Garry P. Nolan and
                  David K. Gifford and
                  Tommi S. Jaakkola and
                  Douglas A. Lauffenburger},
  title        = {Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network
                  Modeling of Single Cell Data},
  booktitle    = {{CSB}},
  pages        = {644},
  publisher    = {{IEEE} Computer Society},
  year         = {2004}
}
@phdthesis{DBLP:phd/il/Peer03,
  author       = {Dana Pe'er},
  title        = {From gene expression to molecular pathways ({\unicode{1502}}{\unicode{1489}}{\unicode{1497}}{\unicode{1496}}{\unicode{1493}}{\unicode{1497}}
                  {\unicode{1490}}{\unicode{1504}}{\unicode{1497}}{\unicode{1501}} {\unicode{1500}}{\unicode{1502}}{\unicode{1505}}{\unicode{1500}}{\unicode{1493}}{\unicode{1500}}{\unicode{1497}}{\unicode{1501}}
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  school       = {Hebrew University of Jerusalem, Israel},
  year         = {2003}
}
@inproceedings{DBLP:conf/uai/SegalPRKF03,
  author       = {Eran Segal and
                  Dana Pe'er and
                  Aviv Regev and
                  Daphne Koller and
                  Nir Friedman},
  title        = {Learning Module Networks},
  booktitle    = {{UAI}},
  pages        = {525--534},
  publisher    = {Morgan Kaufmann},
  year         = {2003}
}
@inproceedings{DBLP:conf/ismb/PeerRT02,
  author       = {Dana Pe'er and
                  Aviv Regev and
                  Amos Tanay},
  title        = {Minreg: Inferring an active regulator set},
  booktitle    = {{ISMB}},
  pages        = {258--267},
  year         = {2002}
}
@inproceedings{DBLP:conf/ismb/PeerREF01,
  author       = {Dana Pe'er and
                  Aviv Regev and
                  Gal Elidan and
                  Nir Friedman},
  title        = {Inferring subnetworks from perturbed expression profiles},
  booktitle    = {{ISMB} (Supplement of Bioinformatics)},
  pages        = {215--224},
  year         = {2001}
}
@article{DBLP:journals/jcb/FriedmanLNP00,
  author       = {Nir Friedman and
                  Michal Linial and
                  Iftach Nachman and
                  Dana Pe'er},
  title        = {Using Bayesian Networks to Analyze Expression Data},
  journal      = {J. Comput. Biol.},
  volume       = {7},
  number       = {3-4},
  pages        = {601--620},
  year         = {2000}
}
@inproceedings{DBLP:conf/recomb/FriedmanLNP00,
  author       = {Nir Friedman and
                  Michal Linial and
                  Iftach Nachman and
                  Dana Pe'er},
  title        = {Using Bayesian networks to analyze expression data},
  booktitle    = {{RECOMB}},
  pages        = {127--135},
  publisher    = {{ACM}},
  year         = {2000}
}
@inproceedings{DBLP:conf/uai/FriedmanNP99,
  author       = {Nir Friedman and
                  Iftach Nachman and
                  Dana Pe'er},
  title        = {Learning Bayesian Network Structure from Massive Datasets: The "Sparse
                  Candidate" Algorithm},
  booktitle    = {{UAI}},
  pages        = {206--215},
  publisher    = {Morgan Kaufmann},
  year         = {1999}
}
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