Tag bayesian-network [59 articles] Export

Recent papers classified by the tag bayesian-network.

	Learning Bayesian Network Structure from Distributed Data [My Copy] In In Proceedings of the 3rd SIAM International Data Mining Conference (2003), pp. 284-288. by Chen S. Kargupta, R. Chen, K. Sivakumar, H. Kargupta posted to heterogeneous_data bayesian-network by ruichu on 2009-08-31 05:57:50 as
	Privacy-Preserving Computation of Bayesian Networks on Vertically Partitioned Data [My Copy] IEEE Trans. on Knowl. and Data Eng., Vol. 18, No. 9. (2006), pp. 1253-1264. by Zhiqiang Yang posted to heterogeneous_data bayesian-network by ruichu on 2009-08-31 05:53:19 as
	Collective Mining of Bayesian Networks from Distributed Heterogeneous Data [My Copy] Knowledge and Information Systems, Vol. 6, No. 2. (1 March 2004), pp. 164-187. by R. Chen, K. Sivakumar, H. Kargupta posted to heterogeneous_data bayesian-network by ruichu on 2009-08-31 05:51:07 as
	A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae) [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 100, No. 14. (8 July 2003), pp. 8348-8353. by Olga G. Troyanskaya, Kara Dolinski, Art B. Owen, Russ B. Altman, David Botstein posted to bayesian-network by ruichu on 2009-08-31 05:46:43 as along with 21 people and 2 groups phoenixzxl bertelsen bresiva BioGeek serak dragonrez okarsligil lfriedl balajis eckart_bindewald eweaver luispedro opheliav wnpx nedwards Evangelia kallberg isimpson carlk srp33 frohike kdl Bioinformatics
	A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches [My Copy] Cell, Vol. 137, No. 1. (03 April 2009), pp. 172-181. by Irene Cantone, Lucia Marucci, Francesco Iorio, et al.Maria A. Ricci, Vincenzo Belcastro, Mukesh Bansal, Stefania Santini, Mario di Bernardo, Diego di Bernardo, Maria P. Cosma posted to differential-equation bayesian-network yeast systems_biology reverse_engineering_gene_networks ode mutual_information granger_causality by frohike on 2009-08-13 08:27:32 as along with 8 people and 1 group Borelli absterga coela stasaki behindtherabbit zwang jjray phoenixzxl cube_and_beyond
	A copula method for modeling directional dependence of genes. [My Copy] BMC bioinformatics, Vol. 9 (01 May 2008), 225. by Jong-Min M. Kim, Yoon-Sung S. Jung, Engin A. Sungur, Kap-Hoon H. Han, Changyi Park, Insuk Sohn posted to bayesian-network aracne directional mutual_information by frohike on 2009-08-07 08:49:04 as along with 5 people donalddunbar bertelsen tmmurali guhjy chodar
	Location-Based Recommendation System Using Bayesian User’s Preference Model in Mobile Devices [My Copy] Ubiquitous Intelligence and Computing (2007), pp. 1130-1139. by Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho posted to bayesian-network mobile-guide recommender user-profile by brusilovsky on 2009-07-31 17:00:28 as along with 1 person and 1 group sense Adaptive-Web
	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 bayesian-network gene-expression by ruichu on 2009-07-09 06:32:34 as along with 24 people and 2 groups antonkratz jxl phoenixzxl abhishek_tiwari richardbickerton ggallone bertelsen ldfu ujh lfriedl opheliav ryang wnpx nirfriedman neveaire koller helsley dimatura edwardmorrissey vietanh0 Yumyai srp33 saman_vp jo_davies Jarman Lab kdl
	Using Bayesian Networks to Analyze Expression Data [My Copy] Journal of Computational Biology, Vol. 7, No. 3-4. (August 2000), pp. 601-620. by Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er posted to bayesian-network gene-expression by ruichu on 2009-07-09 06:29:34 as along with 11 people yonatanf cswinburne siebert brl ldfu dragonrez Schmidtc wnpx helsley heliopais srp33
	Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers [My Copy] Journal of Biomedical Informatics, Vol. 36, No. 4-5. (October 2003), pp. 389-399. by S. Lee, P. A. Abbott posted to applications bayes-rule bayesian bayesian-network clinical conditional-independence conditional-probability d-separation expectation-maximization independence-assumptions inferencing joint-probability kdd knowledge-discovery prior-probability probability-theory review roc-curve sensitivity specificity by henk-cul on 2009-05-09 00:10:49 as along with 1 group dbmi-nlp
	Bayesian network approach to cell signaling pathway modeling. [My Copy] Sci STKE, Vol. 2002, No. 148. (3 September 2002) by K. Sachs, D. Gifford, T. Jaakkola, P. Sorger, D. A. Lauffenburger posted to bayesian-network flow_cytometry perspective by frohike on 2009-03-11 15:33:27 as along with 5 people Borelli dragonrez wnpx noano saman_vp
	Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data [My Copy] Science, Vol. 308, No. 5721. (22 April 2005), pp. 523-529. by Karen Sachs, Omar Perez, Dana Pe'er, Douglas A. Lauffenburger, Garry P. Nolan posted to bayesian-network causal flow_cytometry phosphorylation protein by frohike on 2009-03-11 15:32:37 as along with 23 people and 1 group pkm phoenixzxl sameersoi abhishek_tiwari poirel roys aviad_work czeller emptyhb kentsis kaarsinogen balajis rand_bayes ryang wnpx os252 j3xucite noano koller jhatrimatri cdppublications lp2 saman_vp CDP
	Learning signaling network structures with sparsely distributed data. [My Copy] Journal of computational biology : a journal of computational molecular cell biology, Vol. 16, No. 2. (February 2009), pp. 201-212. by K. Sachs, S. Itani, J. Carlisle, G. P. Nolan, D. Pe'er, D. A. Lauffenburger posted to bayesian-network distributed_data flow_cytometry markov by frohike on 2009-03-11 15:30:50 as along with 3 people carlk mstumpf brianb
	Learning cyclic signaling pathway structures while minimizing data requirements. [My Copy] Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2009), pp. 63-74. by K. Sachs, S. Itani, J. Fitzgerald, et al.L. Wille, B. Schoeberl, M. A. Dahleh, G. P. Nolan posted to acyclicity-constraint bayesian-network flow_cytometry generalized_bayesian_network by frohike on 2009-03-11 15:28:44 as along with 1 person burak
	Bayesian Network Analysis of Signaling Networks: A Primer [My Copy] Sci. STKE, Vol. 2005, No. 281. (26 April 2005), pl4. by Dana Pe'er posted to bayesian-network gene_network primer regulatory reverse_engineering_gene_networks by frohike on 2009-02-09 16:18:47 as along with 8 people abhishek_tiwari ptrobajo saman_vp tmmurali Borelli ryang wnpx jhatrimatri
	Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems [My Copy] Journal of the Royal Statistical Society, Series B, Vol. 50, No. 2. (1988), pp. 157-224. by S. L. Lauritzen, D. J. Spiegelhalter posted to bayesian-network inference pptc by frohike on 2008-09-10 16:05:21 as along with 7 people Viperus zeppe tmmurali wasteland93 sutovsky lcigler roys
	Seeded Bayesian Networks: Constructing genetic networks from microarray data [My Copy] BMC Systems Biology, Vol. 2, No. 1. (2008), 57. by Amira Djebbari, John Quackenbush posted to bayesian-network data_integration microarray_data_analysis text_prior by frohike on 2008-09-09 14:38:14 as along with 7 people meanerelk ptrobajo jfr renatomilani beete phoenixzxl guhjy
	A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data [My Copy] Science, Vol. 302, No. 5644. (17 October 2003), pp. 449-453. by Ronald Jansen, Haiyuan Yu, Dov Greenbaum, et al.Yuval Kluger, Nevan J. Krogan, Sambath Chung, Andrew Emili, Michael Snyder, Jack F. Greenblatt, Mark Gerstein posted to bayesian-network protein_interaction_network by frohike on 2008-06-25 09:12:21 as along with 22 people and 2 groups cerca hagechouchin443 aelef Robinder lfriedl balajis opheliav yuval wnpx nickluscombe ruvido raiyar massivemayhem kdang dbgrant nedwards karfunkel Evangelia shung phoenixzxl penpen926 carlk kdl EBI-regulation
	A Bayesian approach to reconstructing genetic regulatory networks with hidden factors [My Copy] Bioinformatics, Vol. 21, No. 3. (01 February 2005), 349. by Matthew J. Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L. Wild posted to bayesian-network by frohike on 2008-06-25 09:07:33 as along with 5 people bertelsen Borelli edwardmorrissey helsley cswinburne
	Bayesian Statistics without Tears: A Sampling-Resampling Perspective [My Copy] The American Statistician, Vol. 46, No. 2. (1992), pp. 84-88. by A. F. M. Smith, A. E. Gelfand posted to bayesian-network by frohike on 2008-06-17 15:44:42 as along with 5 people fghorow casutton connyc icosma markusd
	Extracting biology from high-dimensional biological data [My Copy] J Exp Biol, Vol. 210, No. 9. (1 May 2007), pp. 1507-1517. by John Quackenbush posted to bayesian-network priors text_mining by frohike on 2008-06-17 15:40:41 as along with 8 people operon fgibson guhjy balicea Sharpshoot jo_davies jfr AlexanderPico
	The road to modularity. [My Copy] Nature reviews. Genetics, Vol. 8, No. 12. (December 2007), pp. 921-931. by Günter P. Wagner, Mihaela Pavlicev, James M. Cheverud posted to bayesian-network modularity by frohike on 2008-06-03 10:58:06 as along with 8 people pale0 bertelsen biomcgary rsantana zufar massivemayhem RobMills mingzhi
	Learning in Graphical Models [My Copy] (27 November 1998) by M. Jordan posted to bayesian-network graphical models by frohike on 2008-06-03 10:20:20 as along with 6 people and 1 group psychorav buescher76 tvdbulck garyfeng wnpx euclid ReadingLab
	A tutorial on learning with bayesian networks [My Copy] (1995) by D. Heckerman posted to bayesian-network by frohike on 2008-06-03 10:15:19 as along with 44 people and 8 groups Sergey_gerbek ingo Gorzomagnificent pwz mhofree soidis m0ta korakot A_Olympia neilernst JoSeK jrw waffle168 davidbroadhurst biplabbose tsprau2 garyfeng aufrank grimm okarsligil rkdeexit bayesian mystiphiliac kresala stvijayanand lyongu eustatic tystl wnpx ddahlem pverstra proportional llamerada torch eman_fcis cerkut tvdbulck jaspervoskuilen ajylha eacebo helsley pprett dcastro tessaverhoef Philosophy_of_Information Blog_and_Wiki_Research mgh-lcs ReadingLab ur-cls Bioinformatics macc contact-id
	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 bayesian-network probabilistic by frohike on 2008-06-03 10:12:39 as along with 4 people and 1 group meanerelk lfriedl balicea wnpx kdl
	Decomposing gene expression into cellular processes. [My Copy] Pac Symp Biocomput (2003), pp. 89-100. by E. Segal, A. Battle, D. Koller posted to bayesian-network genetic by frohike on 2008-06-03 10:10:48 as along with 2 people wnpx noano
	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 bayesian-network genetic by frohike on 2008-06-03 10:07:57 as along with 4 people kentz czeller cswinburne wnpx
	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 bayesian-network dynamic genetic by frohike on 2008-06-03 10:06:49 as along with 4 people brl wnpx koller apleite
	Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning) [My Copy] (08 January 2001) by Peter Spirtes, Clark Glymour, Richard Scheines posted to bayesian-network frequentist hidden_variables by frohike on 2008-06-03 09:53:23 as along with 5 people livingthingdan wnpx chechetka naegele rsantana
	Discovering knowledge from medical databases using evolutionary algorithms [My Copy] Engineering in Medicine and Biology Magazine, IEEE In Engineering in Medicine and Biology Magazine, IEEE, Vol. 19, No. 4. (2000), pp. 45-55. by Man L. Wong, Wai Lam, Kwong S. Leung, Po S. Ngan, J. C. Y. Cheng posted to bayesian-network gbgp medical-data multi-class rules token-competition by sventura to the group Classification with Genetic Programming on 2008-05-10 12:55:09 as
	Medical data mining using evolutionary computation [My Copy] Artificial Intelligence in Medicine In Data Mining Techniques and Applications in Medicine, Vol. 16, No. 1. (May 1999), pp. 73-96. by Po S. Ngan, Man L. Wong, Wai Lam, Kwong S. Leung, Jack C. Cheng posted to bayesian-network gbgp medical-data rules token-competition by sventura to the group Classification with Genetic Programming on 2008-05-09 19:50:32 as along with 1 person egibaja
	Gene networks: how to put the function in genomics. [My Copy] Trends Biotechnol, Vol. 20, No. 11. (November 2002), pp. 467-472. by P. Brazhnik, A. de la Fuente, P. Mendes posted to bayesian-network figure gene genomics metabolomics omicsnetworks proteomics by frohike on 2008-04-28 11:02:27 as along with 1 person pmendes
	Integration of microarray and textual data improves the prognosis prediction of breast, lung and ovarian cancer patients. [My Copy] Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2008), pp. 279-290. by O. Gevaert, S. Van Vooren, B. de Moor posted to bayesian-network integration literature microarray by frohike on 2008-04-07 14:49:29 as along with 2 people and 1 group mitko jfr Bioinformatics
	A Framework for Elucidating Regulatory Networks Based on Prior Information and Expression Data [My Copy] Annals of the New York Academy of Sciences, Vol. 1115, No. 1. (December 2007), pp. 240-248. by Olivier Gevaert, Steven Van Vooren, Bart De Moor posted to bayesian-network dream integration microarray priors protein by frohike on 2008-04-07 14:48:49 as along with 1 person and 1 group guhjy Bioinformatics
	A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion [My Copy] User Modeling 2007 (2007), pp. 247-257. by Chihiro Ono, Mori Kurokawa, Yoichi Motomura, Hideki Asoh posted to bayesian-network context experimentation recommender-systems web by ctl on 2008-04-04 13:43:13 as along with 2 people paulovn sergiolopez
	Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier [My Copy] In International Conference on Machine Learning (1996), pp. 105-112. by Pedro Domingos, Michael J. Pazzani posted to bayesian-network naive classification by frohike on 2008-03-27 13:33:31 as along with 1 person and 1 group wlyu2001 Bioinformatics
	On the Optimality of the Simple Bayesian Classifier under Zero-One Loss [My Copy] Machine Learning, Vol. 29, No. 2-3. (1997), pp. 103-130. by Pedro Domingos, Michael Pazzani posted to bayesian-network naive performance by frohike on 2008-03-27 13:29:50 as along with 1 person and 1 group davidr Bioinformatics
	Idiots Bayes - Not So Stupid After All? [My Copy] International Statistical Review, Vol. 69, No. 3. (2001), pp. 385-398. by David J. Hand, Keming Yu posted to bayesian-network naive performance by frohike on 2008-03-27 13:24:40 as along with 2 people and 1 group asterix77 waghsk Bioinformatics
	Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. [My Copy] Artif Life, Vol. 14, No. 1. (2008), pp. 49-63. by Koenraad Van Leemput, Tim Van den Bulcke, Thomas Dhollander, Bart De Moor, Kathleen Marchal, Piet van Remortel posted to bayesian-network inference syntren by frohike on 2008-02-20 13:58:18 as along with 2 people tvdbulck ptrobajo
	Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical Gaussian models and Bayesian networks. [My Copy] Bioinformatics (14 July 2006) by Adriano V V. Werhli, Marco Grzegorczyk, Dirk Husmeier posted to bayesian-network benchmark regulatory by frohike on 2008-02-01 10:03:33 as along with 3 people wnpx edwardmorrissey roys
	Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks. [My Copy] Bioinformatics, Vol. 19, No. 17. (22 November 2003), pp. 2271-2282. by D. Husmeier posted to bayesian-network benchmark microarray network regulatory by frohike on 2008-02-01 10:02:41 as along with 3 people Borelli wnpx edwardmorrissey
	Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks [My Copy] BMC Bioinformatics, Vol. 8, No. 1. (2007) by Chang S. Kim posted to bayesian-network regulatory by frohike on 2008-02-01 10:02:10 as along with 4 people guhjy rdiaz shigepong zwang
	Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage. [My Copy] Biometrics, Vol. 60, No. 3. (September 2004), pp. 812-819. by Naijun Sha, Marina Vannucci, Mahlet G. Tadesse, et al.Philip J. Brown, Ilaria Dragoni, Nick Davies, Tracy C. Roberts, Andrea Contestabile, Mike Salmon, Chris Buckley, Francesco Falciani posted to breast-cancer bayesian-network disease selection variable by frohike on 2008-01-28 15:07:20 as along with 1 person bertelsen
	Gene selection: a Bayesian variable selection approach. [My Copy] Bioinformatics (Oxford, England), Vol. 19, No. 1. (January 2003), pp. 90-97. by Kyeong Eun E. Lee, Naijun Sha, Edward R. Dougherty, Marina Vannucci, Bani K. Mallick posted to bayesian-network gene selection variable by frohike on 2008-01-28 15:06:51 as along with 1 person bayes
	CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data. [My Copy] Bioinformatics, Vol. 22, No. 12. (15 June 2006), pp. 1495-1502. by L. Kaderali, T. Zander, U. Faigle, J. Wolf, J. L. Schultze, R. Schrader posted to bayesian-network microarray prediction software survival by frohike on 2008-01-28 14:58:38 as
	OC157: Optimizing variable selection and cost using a genetic algorithm for modeling adnexal masses with Bayesian networks. [My Copy] Ultrasound Obstet Gynecol, Vol. 30, No. 4. (October 2007) by O. Gevaert, B. De Moor, D. Timmerman posted to breast-cancer bayesian-network iota network ovarian_cancer by frohike on 2007-10-06 11:20:56 as
	BioBayesNet: a web server for feature extraction and Bayesian network modeling of biological sequence data. [My Copy] Nucleic Acids Res, Vol. 35, No. Web Server issue. (1 July 2007) by S. Nikolajewa, R. Pudimat, M. Hiller, M. Platzer, R. Backofen posted to bayesian-network network sequence software by frohike on 2007-09-27 16:35:49 as along with 2 people phoenixzxl guhjy
	Exploiting missing clinical data in Bayesian network modeling for predicting medical problems. [My Copy] J Biomed Inform (9 June 2007) by Jau-Huei H. Lin, Peter J J. Haug posted to bayesian-network missing network values by frohike on 2007-09-27 16:35:09 as along with 1 person guhjy
	Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks [My Copy] Bioinformatics, Vol. 22, No. 14. (15 July 2006), pp. e184-e190. by O. Gevaert, F. D. Smet, D. Timmerman, Y. Moreau, B. D. Moor posted to breast-cancer bayesian-network integration network by frohike on 2007-09-18 16:10:46 as along with 7 people installe phoenixzxl jfr wnpx welchr macavity1g srp33
	Combining location and expression data for principled discovery of genetic regulatory network models. [My Copy] Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2002), pp. 437-449. by Alexander J. Hartemink, David K. Gifford, Tommi S. Jaakkola, Richard A. Young posted to bayesian-network integration interaction network priors protein by frohike on 2007-07-16 10:44:21 as along with 6 people stharward brl ldfu wnpx noano naegele

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network	7
heterogeneous_data	6
regulatory	6
gene-expression	5
bayesian	4
flow_cytometry	4
integration	4
microarray	4
software	4
ai	3
argument	3
breast-cancer	3
genetic	3
naive	3
priors	3
protein	3
audio-content-analysis	2
audio-effects	2
audio-signal-processing	2
bbn	2
benchmark	2
claps-id	2
contact-id	2
gbgp	2
gene	2
grammar-network	2
hmm	2
inference	2
medical-data	2
mir	2
ml	2
mutual_information	2
ontology	2
performance	2
reverse_engineering_gene_networks	2
rules	2
selection	2
token-competition	2
tutorial	2
variable	2
acyclicity-constraint	1
aracne	1
bayes-rule	1
bayesian_integration	1
byes	1
causal	1
classification	1
conditional-independence	1
conditional-probability	1
context	1
dag	1
data_integration	1
differential-equation	1
directional	1
disease	1
expectation-maximization	1
experimentation	1
frequentist	1
gene_network	1
gene_ontology	1
granger_causality	1
graph	1
graphical	1
hidden_variables	1
independence-assumptions	1
inferencing	1
interaction	1
iota	1
kdd	1
literature	1
markov	1
metabolomics	1
microarray_data_analysis	1
missing	1
modeling	1
models	1
modules	1
multi-class	1
multifractal	1
oncology	1
perspective	1
pptc	1
prediction	1
primer	1
probabilistic	1
probability-theory	1
protein_interaction_network	1
proteomics	1
recommender-systems	1
review	1
specificity	1
survival	1
syntren	1
systems_biology	1
text_mining	1
text_prior	1
user-profile	1
values	1
visualization	1
web	1

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