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	MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 167-189. by Dana Pe'er, Amos Tanay, Aviv Regev posted to structure_learning regulatory_networks gene_expression_data bayesian_networks by roys on 2009-11-24 21:53:02 as
	Learning Mixtures of DAG Models [My Copy] In In Proc. of the Conf. on Uncertainty in AI (1997), pp. 504-513. by Bo Thiesson, Christopher Meek, David Chickering, David M. Chickering, David Heckerman posted to bayesian_networks mixture_model by roys on 2009-08-11 07:14:37 as
	Granger causality vs. dynamic Bayesian network inference: a comparative study [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 122. by Cunlu Zou, Jianfeng Feng posted to bayesian_networks causality by roys on 2009-07-14 02:50:15 as along with 4 people rdiaz Borelli TRHvidsten zwang
	Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery [My Copy] In Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, METMBS '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003), pp. 371-376. by Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown edited by Faramarz Valafar, Homayoun Valafar, Faramarz Valafar, Homayoun Valafar posted to bayesian_networks causality software structure_learning by roys on 2009-05-26 22:52:13 as along with 1 person naegele
	Learning a prior on regulatory potential from eQTL data. [My Copy] PLoS genetics, Vol. 5, No. 1. (30 January 2009), e1000358. by Su-In I. Lee, Aimée M. Dudley, David Drubin, et al.Pamela A. Silver, Nevan J. Krogan, Dana Pe'er, Daphne Koller posted to bayesian_networks eqtl human yeast by roys on 2009-05-20 02:44:34 as along with 7 people ajbattle mingzhi systemsbiology sameersoi guhjy djkt lp2
	Integrating genetic and gene expression data: application to cardiovascular and metabolic traits in mice. [My Copy] Mammalian genome : official journal of the International Mammalian Genome Society, Vol. 17, No. 6. (June 2006), pp. 466-479. by Thomas A. Drake, Eric E. Schadt, Aldons J. Lusis posted to bayesian_networks data_integration eqtl by roys on 2009-05-20 00:48:35 as along with 4 people guhjy koller jo_davies srp33
	Discovery of biological networks from diverse functional genomic data. [My Copy] Genome Biol, Vol. 6, No. 13. (2005) by C. L. Myers, D. Robson, A. Wible, et al.M. A. Hibbs, C. Chiriac, C. L. Theesfeld, K. Dolinski, O. G. Troyanskaya posted to bayesian_networks biological_networks data_integration functional_networks yeast by roys on 2009-04-23 05:02:15 as along with 5 people dragonrez cswinburne grahamc carlk AbnerCYH
	A genomewide functional network for the laboratory mouse. [My Copy] PLoS computational biology, Vol. 4, No. 9. (2008), e1000165. by Y. Guan, C. L. Myers, R. Lu, I. R. Lemischka, C. J. Bult, O. G. Troyanskaya posted to bayesian_networks biological_networks data_integration functional_networks gene_expression_nw mouse by roys on 2009-04-23 04:59:14 as along with 9 people dansullivanblk biomcgary cswinburne zwang pengchy ptrobajo guhjy grahamc tmmurali
	A single gene network accurately predicts phenotypic effects of gene perturbation in Caenorhabditis elegans [My Copy] Nature Genetics, Vol. 40, No. 2. (2008), pp. 181-188. by I. Lee, B. Lehner, C. Crombie, W. Wong, A. Fraser, E. Arcotte posted to bayesian_networks data_integration genetic_nw network_inference worm_regulatory_nw by roys on 2009-04-06 04:03:54 as along with 1 group GEB
	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_networks causality signaling_nw by roys on 2009-03-31 03:34:48 as along with 23 people and 1 group pkm phoenixzxl sameersoi abhishek_tiwari poirel frohike aviad_work czeller emptyhb kentsis kaarsinogen balajis rand_bayes ryang wnpx os252 j3xucite noano koller jhatrimatri cdppublications lp2 saman_vp CDP
	Inference and learning in hybrid bayesian networks [My Copy] (1998) by Kevin P. Murphy posted to bayesian_networks by roys on 2009-01-03 01:02:21 as
	Network inference using informative priors [My Copy] Proceedings of the National Academy of Sciences, Vol. 105, No. 38. (2008), pp. 14313-14318. by Sach Mukherjee, Terence P. Speed posted to bayesian_networks biological_networks structure_learning structured_prior by roys on 2008-09-24 06:04:46 as along with 10 people and 1 group zufar bertelsen ggallone guhjy Borelli ptrobajo jfr markstoehr stringertheory tmmurali Jarman Lab
	Structured priors for structure learning [My Copy] In Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI) (2006) by V. Mansinghka, C. Kemp, J. Tenenbaum, T. Griffiths posted to bayesian_networks structured_prior by roys on 2008-07-16 02:56:06 as along with 2 people ldietz markusd
	Reconstructing gene regulatory networks with bayesian networks by combining expression data with multiple sources of prior knowledge. [My Copy] Statistical applications in genetics and molecular biology, Vol. 6 (2007) by Adriano V. Werhli, Dirk Husmeier posted to bayesian_networks biological_networks data_integration by roys on 2008-05-17 01:55:56 as along with 2 people rdiaz edwardmorrissey
	Being Bayesian about Network Structure [My Copy] In UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (2000), pp. 201-210. by Nir Friedman, Daphne Koller posted to bayesian_networks graphical_models structure_learning by roys on 2008-03-14 02:23:21 as
	Modularized learning of genetic interaction networks from biological annotations and mRNA expression data [My Copy] Bioinformatics, Vol. 21, No. 11. (1 June 2005), pp. 2739-2747. by Phil H. Lee, Doheon Lee posted to bayesian_networks biological_networks network_inference scalable_nw_learning by roys on 2008-01-23 22:29:34 as along with 6 people verdicchio beete saman_vp patrycja_missiuro naegele tvdbulck
	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 bayesian_networks sparse_candidate structure_learning by roys on 2007-12-14 17:52:10 as along with 4 people ldfu wnpx famoreira dimatura
	Coevolutionary networks of splicing cis-regulatory elements [My Copy] Proceedings of the National Academy of Sciences, Vol. 104, No. 47. (20 November 2007), pp. 18583-18588. by Xinshu Xiao, Zefeng Wang, Minyoung Jang, Christopher B. Burge posted to bayesian_networks tfnets tfprograms transcription_modules by roys on 2007-11-14 06:01:21 as along with 4 people dfdong druvus cjeans oelemento
	Bayesian Network Decomposition for Modeling Breast Cancer Detection [My Copy] Artificial Intelligence in Medicine (2007), pp. 346-350. by Marina Velikova, de Carvalho, Peter Lucas posted to bayesian_networks context_specific_indep by roys on 2007-11-09 05:52:57 as
	Learning Probabilistic Relational Models [My Copy] In SARA '02: Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation (2000), pp. 322-323. by Lise Getoor posted to bayesian_networks prm statistical_relational_models by roys on 2007-11-06 22:38:40 as
	Learning with Mixtures of Trees [My Copy] Journal of Machine Learning Research, Vol. 1 (2000), pp. 1-48. by Marina Meila, Michael I. Jordan posted to bayesian_networks mt multinet undirected_graphical_models by roys on 2007-11-06 21:10:17 as along with 1 person markusd
	Learning Mixtures of DAG Models [My Copy] In Uncertainty in Artificial Intelligence. Proceedings of the Fourteenth Conference (1998) (1998), pp. 504-513. by Bo Thiesson, Christopher Meek, David M. Chickering, David Heckerman posted to bayesian_networks mdags multinets similarity_nw by roys on 2007-11-06 21:08:53 as
	Inductive Transfer for Bayesian Network Structure Learning [My Copy] Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics In Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (2007) by Alexandru Niculescu-Mizil, Rich Caruana posted to bayesian_networks multinet transfer_learning by roys on 2007-11-06 21:07:03 as
	Learning class-discriminative dynamic Bayesian networks [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 97-104. by John Burge, Terran Lane posted to bayesian_networks context_specific_indep dbn multinet by roys on 2007-11-06 20:57:35 as along with 1 person chihchun_chen
	Dynamic Bayesian Multinets [My Copy] In UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (2000), pp. 38-45. by Jeff Bilmes posted to bayesian_networks context_specific_indep dbn multinet by roys on 2007-11-06 20:56:32 as
	Advances in probabilistic reasoning [My Copy] In Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence (1991), pp. 118-126. by Dan Geiger, David Heckerman posted to bayesian_networks context_specific_indep multinet similarity_nw by roys on 2007-11-06 20:54:43 as
	Learning belief networks in the presence of missing values and hidden variables [My Copy] In Proc. 14th International Conference on Machine Learning (1997), pp. 125-133. by Nir Friedman posted to bayesian_networks hidden_vars structural_em by roys on 2007-11-06 20:47:42 as along with 1 person yangxian
	The Bayesian structural EM algorithm [My Copy] Uncertainty in Artificial Intelligence (1998) by Nir Friedman posted to bayesian_networks hidden_vars structural_em by roys on 2007-11-06 20:46:01 as
	$My PDF pe&\#241;a_00_improved.pdf$ An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering [My Copy] Pattern Recogn. Lett., Vol. 21, No. 9. (July 2000), pp. 779-786. by J. M. Pe&\#241;a, J. A. Lozano, P. Larra&\#241;aga posted to bayesian_networks hidden_vars structural_em by roys on 2007-11-06 20:43:36 as along with 2 people wnpx famoreira
	Learning Bayesian Networks: The Combination of Knowledge and Statistical Data [My Copy] In KDD Workshop (1994), pp. 85-96. by David Heckerman, Dan Geiger, David M. Chickering posted to bayesian_networks bde score_function by roys on 2007-11-06 19:02:18 as along with 4 people wnpx dongnl wlyu2001 peskin
	Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique [My Copy] In International Conference on Machine Learning (1996), pp. 462-470. by Joe Suzuki posted to bayesian_networks mdl score_function by roys on 2007-11-06 19:00:20 as along with 2 people jrw mkuro
	Probabilistic Network Construction Using the Minimum Description Length Principle [My Copy] Lecture Notes in Computer Science, Vol. 747 (1993), pp. 41-??. by R. R. Bouckaert posted to bayesian_networks mdl score_function by roys on 2007-11-06 18:59:42 as
	A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 2149-2187. by Luis M. de Campos posted to bayesian_networks score_function by roys on 2007-11-06 18:49:43 as
	A Bayesian Method for the Induction of Probabilistic Networks from Data [My Copy] Machine Learning, Vol. 09, No. 4. (October 1992), pp. 309-347. by G. F. Cooper, E. Herskovits posted to bayesian_networks bde by roys on 2007-11-06 18:46:12 as along with 6 people tmancill tvdbulck misovalko ldfu wnpx famoreira
	A Tutorial on Learning Bayesian Networks [My Copy] No. MSR-TR-95-06. (March 1995) by David Heckerman posted to bayesian_networks by roys on 2007-11-06 18:42:00 as along with 2 people cpfr jwm0123
	Learning Bayesian Networks is NP-Hard [My Copy] No. MSR-TR-94-17. (November 1994) by David M. Chickering, Dan Geiger, David Heckerman posted to bayesian_networks network_inference by roys on 2007-11-06 18:39:53 as along with 1 person tvdbulck
	Learning Probabilistic Relational Models [My Copy] In IJCAI (1999), pp. 1300-1309. by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer posted to bayesian_networks graphical_models prm statistical_relational_models by roys on 2007-11-06 05:07:53 as along with 7 people weimer wnpx tvdbulck Maderlock ichbins81 krokicki sboisen
	Bayesian analysis of signaling networks governing embryonic stem cell fate decisions [My Copy] Bioinformatics, Vol. 21, No. 6. (15 March 2005), pp. 741-753. by J. Woolf, Prudhomme Wendy, Daheron Laurence, Q. Daley, A. Lauffenburger posted to bayesian_networks network_inference signaling_nw by roys on 2007-11-06 04:15:30 as along with 1 person rmk
	Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks [My Copy] Bioinformatics, Vol. 22, No. 20. (15 October 2006), pp. 2523-2531. by Werhli, V. Adriano, Grzegorczyk, Marco, Husmeier, Dirk posted to bayesian_networks graphical_gaussian network_inference by roys on 2007-11-06 03:55:46 as along with 3 people czeller alokm Borelli
	Advances to Bayesian network inference for generating causal networks from observational biological data [My Copy] Bioinformatics, Vol. 20, No. 18. (12 December 2004), pp. 3594-3603. by Jing Yu, Anne V. Smith, Paul P. Wang, Alexander J. Hartemink posted to bayesian_networks gene_expression_nw network_inference by roys on 2007-11-06 03:45:58 as along with 5 people arsyed Neeperando Borelli ggallone heliopais
	MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 167-189. by Dana Pe'er, Amos Tanay, Aviv Regev posted to bayesian_networks gene_expression_nw network_inference by roys on 2007-11-06 03:44:01 as
	Constructing Bayesian network models of gene expression networks from microarray data [My Copy] (2000) by P. Spirtes, C. Glymour, R. Scheines posted to bayesian_networks gene_expression_nw network_inference by roys on 2007-11-06 03:41:36 as

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protein_nw	44
bayesian_networks	42
biological_networks	39
gene_expression	38
fly	32
network_inference	30
causality	28
neuroscience	27
networks	25
tfnets	24
regulatory_nw	23
yeast	21
eqtl	21
evolution	21
condition_specific_nw	19
metabolic_nw	18
data_integration	18
gene_expression_nw	17
tissue_specific_nw	17
clustering	17
comparative_genomics	17
cancer	14
markov_networks	14
condition_specific_response	14
human	13
statistical_relational_models	13
structure_learning	12
qtl	12
review	12
signaling_nw	12
diseases	12
tissue_specific_expression	11
genetic_nw	10
timeseries	10
regnet	10
species_specific_nw	10
network_motifs	9
development	9
protein_expression	9
graphical_models	9
combinatorial_control	8
tfprograms	8
mrf	8
differential_expression	8
tfnet	8
transcription_modules	8
systems_biology	8
tfbs	7
protein-dna_interaction_prediction	7
metabolic_flux	7
protein_domains	7
undirected_graphical_models	7
mental_diseases	7
mouse	7
hierarchical_models	6
gene_ontology	6
protein_nw_quality	6
subnw	6
module_nw	6
ca	6
information_theory	6
graph_theory	6
supervised_learning	5
quiescence	5
topic_models	5
mcmc	5
context_sensitive	5
worm	5
bnet	5
protein-dna	5
stress	5
multinet	5
nw_modularity	5
mixture_model	5
score_function	4
approximate_inference	4
protein_domain_sequences	4
glucose_response	4
nw_inference_method_comparison	4
dynamics	4
mrna_protein_correlation	4
nwsim	4
transcription_factor_binding_sites	4
context_specific_indep	4
protein_interaction_confidence	4
modularity	4
classification	4
lda	4
genome_wide_assoc	3
starvation	3
structural_em	3
rewiring	3
gene_regulation	3
regulatory_networks	3
mammals	3
stress_responses	3
higher_order_dependencies	3
graphical_gaussian	3
motif_discovery	3
scalable_nw_learning	3
graph_clustering	3
gaussian_processes	3
expression_correlation	3
dependency_networks	3
database	3
ecoli	3
worm_regulatory_nw	3
graphs	3
metabolite_expression	3
ncrna	3
mtl	3
regression	3
regulatory	3
hidden_vars	3
protein_dna_interactions	3
software	3
metagenomics	3
imp_aminoacids	3
factor_graphs	3
bde	2
fdr	2
inference	2
biclustering	2
maximum_likelihood	2
post_transcriptional	2
dirichlet_process	2
functional_networks	2
toolkits	2
prm	2
conditional_correlation	2
stationary_phase	2
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data_pooling	2
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similarity_nw	2
loopy_belief_propogation	2
growth_control	2
fba	2
genome_complexity	2
protein_function_pred	2
decomposable	2
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noise_expression	2
mdl	2
expression_divergence	2
annotation	2
proteome_comparison	2
carbon_metabolism	2
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ontology_similarity	2
hmms	2
flow_networks	2
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pseudolikelihood	2
markov_boundary	2
flow_cytometry	2
maximum_entropy	2
structured_prior	2
aging	2
celegans	2
snp	2
relational_markov_nw	2
mutual_information	2
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chipseqrev	1
laplacian	1
microrna	1
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sam	1
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ms	1
active	1
fungi	1
simulation	1
protein_interactions	1
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petrinet	1
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dream	1
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forward_genetics	1
statistical_learning	1
rnaseqrev	1
proline	1
image_analysis	1
gene_duplication	1
spline	1
workshop	1
single_cell	1
drug_target_pred	1
synthetic_biology	1
alignments	1
canonical_correlation	1
omni	1
motif_libraries	1
moma	1
dna	1
experimental_conditions	1
cell_populations	1
sem	1
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osmotic_stress	1
crp	1
probability_distribution_spectral_method	1
motif_clustering	1
unsuperviselearning	1
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gene_interactions	1
nmf	1
model_counting	1
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bacteria	1
mt	1
imago	1
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boolean	1
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protein_quantification	1
sparse_candidate	1
proteomics_data	1
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fold_prediction	1
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evolution_complexity	1
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tra	1
tor	1
bayesian_models	1
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gene_expression_data	1
alcoholism	1
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lasso	1
modencode	1
logic_nw	1
perturbations	1
semantic_similarity	1
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svm	1
network_representation	1
rna_mrna_nw	1
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gene_ranking	1
edgetic	1
entropy	1
general	1
generalize_pseudo_likelihood	1
mixture_of_experts	1
kitano02	1
nextgen_sequencing	1
room	1
growth	1
learning	1
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gwa	1
drosophila	1
active_learning	1
phylogenetic_reconstruction	1
evolutionary_developmental_biology	1
mag	1
overlap_clustering	1
transfer_learning	1
intact	1
genomic_rearrangements	1
sequencing	1
robustness	1
structured_classification	1
glycine	1
multi_information	1
tree_distributions	1
gene_set_analysis	1
nucleosome	1
mrfs	1
tokha07	1
nw_alignment	1
nw_schema	1
community_structure	1
multiple_patient_data	1

roys's bayesian_networks [42 articles] Export

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