Nir Friedman

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Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Moran YassourThe Hebrew University of JerusalemVerified email at mail.huji.ac.il
Oliver RandoProfessor of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical SchoolVerified email at umassmed.edu
Moises GoldszmidtDistinguished Engineer at AppleVerified email at apple.com
Joshua Z. LevinBroad Institute of MIT & HarvardVerified email at broadinstitute.org
Ido AmitProfessor of Immunology, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Iftach NachmanAssistant professor of biology, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Brian HaasBroad InstituteVerified email at broadinstitute.org
Manfred GrabherrSenior Researcher and Team Leader, Uppsala UniversityVerified email at imbim.uu.se
Eran SegalProfessor of Computer Science, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Tommy KaplanProfessor of Computer Science and Computational Biology, The Hebrew UniversityVerified email at cs.huji.ac.il
Naftali KaminskiYale School of MedicineVerified email at yale.edu
Assaf WeinerThe Weizmann InstitueVerified email at weizmann.ac.il
N RhindBiochemistry, UMass Med SchoolVerified email at umassmed.edu
Joseph HalpernProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Naomi HabibHebrew University of Jerusalem IsraelVerified email at elsc.huji.ac.il
Dana Pe'erHoward Hughes Medical Institute / Sloan Kettering InstituteVerified email at mskcc.org
Gal ElidanHebrew University / GoogleVerified email at huji.ac.il
Zohar YakhiniFaculty Member, Computer Science at IDC HerzeliyaVerified email at idc.ac.il

Nir Friedman

Professor of Computer Science and Medicine, Hebrew University

Verified email at mail.huji.ac.il - Homepage

Computational Biology Systems Biology Chromatin Transcription cell-free DNA


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Full-length transcriptome assembly from RNA-Seq data without a reference genome MG Grabherr, BJ Haas, M Yassour, JZ Levin, DA Thompson, I Amit, ... Nature biotechnology 29 (7), 644-652, 2011	17020*	2011
Probabilistic graphical models: principles and techniques D Koller, N Friedman MIT press, 2009	10002	2009
Bayesian network classifiers N Friedman, D Geiger, M Goldszmidt Machine learning 29, 131-163, 1997	6936	1997
De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis BJ Haas, A Papanicolaou, M Yassour, M Grabherr, PD Blood, J Bowden, ... Nature protocols 8 (8), 1494-1512, 2013	6898	2013
Using Bayesian networks to analyze expression data N Friedman, M Linial, I Nachman, D Pe'er Proceedings of the fourth annual international conference on Computational …, 2000	4537	2000
Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data E Segal, M Shapira, A Regev, D Pe'er, D Botstein, D Koller, N Friedman Nature genetics 34 (2), 166-176, 2003	2144	2003
Learning probabilistic relational models L Getoor, N Friedman, D Koller, A Pfeffer Relational data mining, 307-335, 2001	1636*	2001
Inferring cellular networks using probabilistic graphical models N Friedman Science 303 (5659), 799, 2004	1582	2004
Image segmentation in video sequences: A probabilistic approach N Friedman, S Russell arXiv preprint arXiv:1302.1539, 2013	1496	2013
Paternally induced transgenerational environmental reprogramming of metabolic gene expression in mammals BR Carone, L Fauquier, N Habib, JM Shea, CE Hart, R Li, C Bock, C Li, ... Cell 143 (7), 1084-1096, 2010	1161	2010
Perturb-Seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens A Dixit, O Parnas, B Li, J Chen, CP Fulco, L Jerby-Arnon, ND Marjanovic, ... cell 167 (7), 1853-1866. e17, 2016	1104	2016
Tissue classification with gene expression profiles A Ben-Dor, L Bruhn, N Friedman, I Nachman, M Schummer, Z Yakhini Proceedings of the fourth annual international conference on Computational …, 2000	1089	2000
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks N Friedman, D Koller Machine learning 50, 95-125, 2003	1069	2003
Densely interconnected transcriptional circuits control cell states in human hematopoiesis N Novershtern, A Subramanian, LN Lawton, RH Mak, WN Haining, ... Cell 144 (2), 296-309, 2011	987	2011
Context-specific independence in Bayesian networks C Boutilier, N Friedman, M Goldszmidt, D Koller arXiv preprint arXiv:1302.3562, 2013	963	2013
The Bayesian structural EM algorithm N Friedman arXiv preprint arXiv:1301.7373, 2013	963	2013
Single-cell RNA-seq reveals dynamic paracrine control of cellular variation AK Shalek, R Satija, J Shuga, JJ Trombetta, D Gennert, D Lu, P Chen, ... Nature 510 (7505), 363-369, 2014	962	2014
Learning the structure of dynamic probabilistic networks N Friedman, K Murphy, S Russell arXiv preprint arXiv:1301.7374, 2013	877	2013
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm N Friedman, I Nachman, D Pe'er arXiv preprint arXiv:1301.6696, 2013	873	2013
Comprehensive comparative analysis of strand-specific RNA sequencing methods JZ Levin, M Yassour, X Adiconis, C Nusbaum, DA Thompson, N Friedman, ... Nature methods 7 (9), 709-715, 2010	869	2010

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