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
Iftach NachmanAssistant professor of biology, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Joshua Z. LevinBroad Institute of MIT & HarvardVerified email at broadinstitute.org
Ido AmitProfessor of Immunology, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
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
Manfred GrabherrSenior Researcher and Team Leader, Uppsala UniversityVerified email at imbim.uu.se
Joseph HalpernProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Assaf WeinerThe Weizmann InstitueVerified email at weizmann.ac.il
Brian HaasBroad InstituteVerified email at broadinstitute.org
Gal ElidanHebrew University / GoogleVerified email at huji.ac.il
Naomi HabibHebrew University of Jerusalem IsraelVerified email at elsc.huji.ac.il
N RhindBiochemistry, UMass Med SchoolVerified email at umassmed.edu
Zohar YakhiniFaculty Member, Computer Science at IDC HerzeliyaVerified email at idc.ac.il
Amir Ben-DorSenior Scientist, Agilent LaboratoriesVerified email at agilent.com

Nir Friedman

Professor of Computer Science and Life Sciences, 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	13050	2011
Probabilistic graphical models: principles and techniques D Koller, N Friedman MIT press, 2009	8263	2009
Bayesian network classifiers N Friedman, D Geiger, M Goldszmidt Machine learning 29 (2), 131-163, 1997	6105	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	5177	2013
Using Bayesian networks to analyze expression data N Friedman, M Linial, I Nachman, D Pe'er Journal of computational biology 7 (3-4), 601-620, 2000	4288	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	2059	2003
Probabilistic Relational Models L Getoor, N Friedman, D Koller, A Pfeffer, B Taskar Statistical relational learning, 129, 2007	1929*	2007
Graphical Models in a Nutshell D Koller, N Friedman, L Getoor, B Taskar STATISTICAL RELATIONAL LEARNING, 13, 2007	1924*	2007
Inferring cellular networks using probabilistic graphical models N Friedman Science 303 (5659), 799, 2004	1480	2004
Image segmentation in video sequences: A probabilistic approach N Friedman, S Russell arXiv preprint arXiv:1302.1539, 2013	1425	2013
Learning probabilistic relational models N Friedman, L Getoor, D Koller, A Pfeffer IJCAI 99, 1300-1309, 1999	1107	1999
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	1031	2000
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	1004	2010
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks N Friedman, D Koller Machine learning 50 (1), 95-125, 2003	972	2003
The Bayesian structural EM algorithm N Friedman arXiv preprint arXiv:1301.7373, 2013	906	2013
Context-specific independence in Bayesian networks C Boutilier, N Friedman, M Goldszmidt, D Koller arXiv preprint arXiv:1302.3562, 2013	900	2013
Learning the structure of dynamic probabilistic networks N Friedman, K Murphy, S Russell arXiv preprint arXiv:1301.7374, 2013	847	2013
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	836	2011
A module map showing conditional activity of expression modules in cancer E Segal, N Friedman, D Koller, A Regev Nature genetics 36 (10), 1090-1098, 2004	828	2004
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm N Friedman, I Nachman, D Pe'er arXiv preprint arXiv:1301.6696, 2013	815	2013

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