Nir Friedman
Nir Friedman
Professor of Computer Science and Life Sciences, Hebrew University
Dirección de correo verificada de mail.huji.ac.il - Página principal
TítuloCitado porAño
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
92442011
Probabilistic graphical models: principles and techniques
D Koller, N Friedman
MIT press, 2009
63972009
Bayesian network classifiers
N Friedman, D Geiger, M Goldszmidt
Machine learning 29 (2-3), 131-163, 1997
51621997
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
38852000
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
33932013
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, 2003
19142003
Graphical Models in a Nutshell
D Koller, N Friedman, L Getoor, B Taskar
STATISTICAL RELATIONAL LEARNING, 13, 2007
1658*2007
Probabilistic Relational Models
L Getoor, N Friedman, D Koller, A Pfeffer, B Taskar
Statistical relational learning, 129, 2007
1656*2007
Inferring cellular networks using probabilistic graphical models
N Friedman
Science 303 (5659), 799, 2004
13592004
Image segmentation in video sequences: A probabilistic approach
N Friedman, S Russell
Proceedings of the Thirteenth conference on Uncertainty in artificial …, 1997
13161997
Learning probabilistic relational models
N Friedman, L Getoor, D Koller, A Pfeffer
IJCAI 99, 1300-1309, 1999
10101999
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
9582000
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
8682003
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
8612010
The Bayesian structural EM algorithm
N Friedman
Proceedings of the Fourteenth conference on Uncertainty in artificial …, 1998
8171998
Context-specific independence in Bayesian networks
C Boutilier, N Friedman, M Goldszmidt, D Koller
Proceedings of the Twelfth international conference on Uncertainty in …, 1996
8021996
A module map showing conditional activity of expression modules in cancer
E Segal, N Friedman, D Koller, A Regev
Nature genetics 36 (10), 1090, 2004
7712004
Learning the structure of dynamic probabilistic networks
N Friedman, K Murphy, S Russell
Proceedings of the Fourteenth conference on Uncertainty in artificial …, 1998
7691998
Learning bayesian network structure from massive datasets: the «sparse candidate «algorithm
N Friedman, I Nachman, D Peér
Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999
7211999
Inferring subnetworks from perturbed expression profiles
D Pe’er, A Regev, G Elidan, N Friedman
Bioinformatics 17 (suppl_1), S215-S224, 2001
7022001
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20