A probabilistic generative model for GO enrichment analysis.
about
Gene discovery in the horned beetle Onthophagus taurusA modular framework for gene set analysis integrating multilevel omics data.Bayesian pathway analysis of cancer microarray data.GOing Bayesian: model-based gene set analysis of genome-scale data.Microarray based analysis of gene regulation by mesenchymal stem cells in breast cancerChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments.RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysisGene set selection via LASSO penalized regression (SLPR).Network-based prediction and analysis of HIV dependency factorsMarkov Chain Ontology Analysis (MCOA).Network-based functional enrichment.The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.Summarizing cellular responses as biological process networksMultiset Statistics for Gene Set Analysis.Avoiding the pitfalls of gene set enrichment analysis with SetRank.MeSH Up: effective MeSH text classification for improved document retrieval.GOMA: functional enrichment analysis tool based on GO modules.A Bayesian extension of the hypergeometric test for functional enrichment analysisBayesian ontology querying for accurate and noise-tolerant semantic searches.A model-based analysis to infer the functional content of a gene list.GO-function: deriving biologically relevant functions from statistically significant functions.Model-based gene set analysis for Bioconductor.NetGen: a novel network-based probabilistic generative model for gene set functional enrichment analysis.Using predictive specificity to determine when gene set analysis is biologically meaningful.The Pathway Coexpression Network: Revealing pathway relationships.WTFgenes: What's The Function of these genes? Static sites for model-based gene set analysis
P2860
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P2860
A probabilistic generative model for GO enrichment analysis.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
A probabilistic generative model for GO enrichment analysis.
@en
type
label
A probabilistic generative model for GO enrichment analysis.
@en
prefLabel
A probabilistic generative model for GO enrichment analysis.
@en
P2860
P50
P356
P1476
A probabilistic generative model for GO enrichment analysis.
@en
P2093
Roni Rosenfeld
P2860
P356
10.1093/NAR/GKN434
P407
P577
2008-08-01T00:00:00Z