wnpx's Friedman:N [24 articles] Export

Recent papers posted to wnpx's library by the author Friedman:N. You can also see everyone's Friedman:N.

	From promoter sequence to expression: a probabilistic framework [My Copy] In RECOMB '02: Proceedings of the sixth annual international conference on Computational biology (2002), pp. 263-272. by Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller posted to dt probabilistic by wnpx on 2007-10-18 04:49:45 as
	Module Networks: Discovering Regulatory Modules and their Condition Specific Regulators from Gene Expression Data [My Copy] by Eran Segal, Michael Shapira, Aviv Regev, et al.Dana Pe'er, David Botstein, Daphne Koller, Nir Friedman posted to bayesian gene modeule network regulation by wnpx on 2007-06-11 07:20:10 as along with 2 people dimatura lp2
	Bayesian Q-learning [My Copy] In AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence (1998), pp. 761-768. by Richard Dearden, Nir Friedman, Stuart Russell posted to bayesian by wnpx on 2007-04-15 20:36:17 as along with 2 people mistersheik AlainDutech
	Learning Bayesian Networks with Local Structure [My Copy] pp. 252-262. by Nir Friedman, Moises Goldszmidt posted to bayesian learning by wnpx on 2007-03-22 21:52:03 as along with 1 person hcs
	Stochastic protein expression in individual cells at the single molecule level [My Copy] Nature, Vol. 440, No. 7082. (16 March 2006), pp. 358-362. by Long Cai, Nir Friedman, Sunney X. Xie posted to stochasticity protein by wnpx on 2007-01-10 15:18:02 as along with 18 people and 1 group citemyface pkm dbikard abhishek_tiwari ddcttrl peiell okarsligil ccots bayesian balabu cottrell jiyu mmt jtaylor margaritis cjeans austin jjray Bioinformatics
	Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks [My Copy] Machine Learning, Vol. V50, No. 1. (1 January 2003), pp. 95-125. by Nir Friedman, Daphne Koller posted to bayesian network structure by wnpx on 2006-11-17 06:16:03 as along with 5 people and 1 group garyfeng Borelli chechetka quianominorleo naegele ReadingLab
	Towards an Integrated Protein-Protein Interaction Network: A Relational Markov Network Approach [My Copy] Journal of Computational Biology, Vol. 13, No. 2. (March 2006), pp. 145-164. by Ariel Jaimovich, Gal Elidan, Hanah Margalit, Nir Friedman posted to markov network prediction probabilistic protein proteininteraction by wnpx on 2006-08-24 18:36:29 as along with 6 people and 1 group anon_pl lfriedl nirfriedman koller rsantana iris_2001 kdl
	Learning Hidden Variable Networks: The Information Bottleneck Approach [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 81-127. by Gal Elidan, Nir Friedman posted to bayesian learning network by wnpx on 2006-07-30 16:44:33 as along with 1 person anon_pl
	Learning Probabilistic Relational Models [My Copy] In IJCAI (1999), pp. 1300-1309. by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer posted to learning models prm probabilistic relational by wnpx on 2006-05-28 15:48:19 as along with 7 people weimer tvdbulck Maderlock ichbins81 krokicki roys sboisen
	Learning Probabilistic Models of Relational Structure [My Copy] In Proc. 18th International Conf. on Machine Learning (2001), pp. 170-177. by Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar posted to learning prm probabilistic relational structure by wnpx on 2006-05-28 15:47:57 as along with 3 people ldietz student_t tvdbulck
	Learning probabilistic models of link structure [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 679-707. by Lisa Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar posted to learning structure by wnpx on 2006-05-28 15:47:04 as along with 4 people robotact lyongu student_t iris_2001
	Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. [My Copy] Nature genetics, Vol. 34, No. 2. (11 June 2003), pp. 166-176. by Eran Segal, Michael Shapira, Aviv Regev, et al.Dana Pe'er, David Botstein, Daphne Koller, Nir Friedman posted to data expression gene module networks by wnpx on 2006-04-18 14:38:44 as along with 27 people and 1 group meanerelk chasmand stharward bertelsen ipark-kaist VGreiff benjaminsb wangbo ajbattle cswinburne ggallone ealloza orzenil tuck bayesian tabu koller olympos fishtank dimatura karfunkel roys pkm dragonrez tvdbulck chrisamiller aviad_work Jarman Lab
	Learning the Structure of Dynamic Probabilistic Networks [My Copy] In 15th Annual Conference on Uncertainty in Artificial Intelligence (1999), pp. 139-147. by Nir Friedman, Kevin Murphy, Stuart Russell posted to bayesian bayesnets inference learning structure by wnpx on 2006-01-30 16:35:12 as along with 3 people ryang ddahlem sj777
	From signatures to models: understanding cancer using microarrays [My Copy] Nature Genetics, Vol. 37 Suppl (01 June 2005), pp. S38-S45. by Eran Segal, Nir Friedman, Naftali Kaminski, Aviv Regev, Daphne Koller posted to cancer expressiondata modeling by wnpx on 2006-01-05 22:23:17 as along with 13 people and 1 group bertelsen chasmand roys lwaldron cswinburne aalibes textoris troels_marstrand nirfriedman rdiaz sampath shikin srp33 GeneGo
	Rich probabilistic models for gene expression [My Copy] Bioinformatics, Vol. 17, No. suppl_1. (1 June 2001), pp. S243-252. by Eran Segal, Ben Taskar, Audrey Gasch, Nir Friedman, Daphne Koller posted to clustering expression gene probabilistic by wnpx on 2006-01-03 18:44:03 as along with 4 people and 1 group meanerelk lfriedl balicea frohike kdl
	Using Bayesian networks to analyze expression data [My Copy] In RECOMB '00: Proceedings of the fourth annual international conference on Computational molecular biology (2000), pp. 127-135. by Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er posted to expressiondata dt bayesnet bayesian by wnpx on 2006-01-03 06:14:49 as along with 2 people ujh abhik
	Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks [My Copy] (January 2003) by N. Friedman, D. Koller posted to bayesian bayesnets learning structure by wnpx on 2006-01-03 06:11:20 as along with 7 people oyen markusd zeppe abhik eustatic yoh dimatura
	Learning Bayesian networks with local structure [My Copy] (1999), pp. 421-459. by Nir Friedman, Moises Goldszmidt posted to bayesian bayesnet learning structure by wnpx on 2006-01-03 06:08:50 as along with 3 people robotact yaroslavvb eustatic
	Learning Probabilistic Relational Models [My Copy] In IJCAI '99: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (1999), pp. 1300-1309. by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer posted to prm by wnpx on 2005-12-30 17:16:54 as along with 1 person 1like
	Learning Bayesian Network Structure from Massive Datasets: The ”Sparse Candidate” Algorithm [My Copy] pp. 206-215. by Nir Friedman, Iftach Nachman, Dana Pe'er posted to algorithm bayesian network structure by wnpx on 2005-12-29 17:25:46 as along with 4 people ldfu famoreira dimatura roys
	Inferring subnetworks from perturbed expression profiles [My Copy] Bioinformatics, Vol. 17, No. suppl_1. (1 June 2001), pp. S215-224. by Dana Pe’er, Aviv Regev, Gal Elidan, Nir Friedman posted to timeseries perturbation network inference expressiondata dt by wnpx on 2005-12-29 17:13:55 as along with 4 people kentz czeller cswinburne frohike
	Inferring quantitative models of regulatory networks from expression data. [My Copy] Bioinformatics, Vol. 20 Suppl 1 (4 August 2004) by I. Nachman, A. Regev, N. Friedman posted to ml kineticparameters dt dbn bayesian by wnpx on 2005-12-29 17:02:44 as along with 4 people brl koller apleite frohike
	Using Bayesian Networks to Analyze Expression Data [My Copy] Journal of Computational Biology, Vol. 7, No. 3-4. (August 2000), pp. 601-620. by N. Friedman, M. Linial, I. Nachman, D. Pe'er posted to expressiondata dt bayesian by wnpx on 2005-12-29 17:00:41 as along with 11 people ruichu yonatanf cswinburne siebert brl ldfu dragonrez Schmidtc helsley heliopais srp33
	Inferring Cellular Networks Using Probabilistic Graphical Models [My Copy] Science, Vol. 303, No. 5659. (6 February 2004), pp. 799-805. by Nir Friedman posted to review inference dt bayes by wnpx on 2005-12-29 16:57:37 as along with 24 people and 2 groups antonkratz jxl phoenixzxl abhishek_tiwari richardbickerton ruichu ggallone bertelsen ldfu ujh lfriedl opheliav ryang nirfriedman neveaire koller helsley dimatura edwardmorrissey vietanh0 Yumyai srp33 saman_vp jo_davies Jarman Lab kdl

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wnpx's Friedman:N [24 articles] Export

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