Nir Friedman
Nir Friedman
Professor of Computer Science and Life Sciences, Hebrew University
Verified email at mail.huji.ac.il - Homepage
TitleCited byYear
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, 2011
96632011
Probabilistic graphical models: principles and techniques
D Koller, N Friedman
MIT press, 2009
65962009
Bayesian network classifiers
N Friedman, D Geiger, M Goldszmidt
Machine learning 29 (2-3), 131-163, 1997
52481997
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
39252000
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, 2013
35892013
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
19302003
Probabilistic Relational Models
L Getoor, N Friedman, D Koller, A Pfeffer, B Taskar
Statistical relational learning, 129, 2007
1689*2007
Graphical Models in a Nutshell
D Koller, N Friedman, L Getoor, B Taskar
STATISTICAL RELATIONAL LEARNING, 13, 2007
1683*2007
Inferring cellular networks using probabilistic graphical models
N Friedman
Science 303 (5659), 799, 2004
13612004
Image segmentation in video sequences: A probabilistic approach
N Friedman, S Russell
arXiv preprint arXiv:1302.1539, 2013
13342013
Learning probabilistic relational models
N Friedman, L Getoor, D Koller, A Pfeffer
IJCAI 99, 1300-1309, 1999
10341999
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
9602000
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
8742010
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks
N Friedman, D Koller
Machine learning 50 (1-2), 95-125, 2003
8702003
The Bayesian structural EM algorithm
N Friedman
arXiv preprint arXiv:1301.7373, 2013
8252013
Context-specific independence in Bayesian networks
C Boutilier, N Friedman, M Goldszmidt, D Koller
arXiv preprint arXiv:1302.3562, 2013
8062013
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
7762004
Learning the structure of dynamic probabilistic networks
N Friedman, K Murphy, S Russell
arXiv preprint arXiv:1301.7374, 2013
7712013
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm
N Friedman, I Nachman, D Pe'er
arXiv preprint arXiv:1301.6696, 2013
7252013
Inferring subnetworks from perturbed expression profiles
D Pe’er, A Regev, G Elidan, N Friedman
Bioinformatics 17 (suppl_1), S215-S224, 2001
7012001
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