Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering

Bioinformatics

Volumn 31, Issue 10, 2015, Pages 1686-1688

  Aibar, Sara ^a   Fontanillo, Celia ^a,b   Droste, Conrad ^a   De Las Rivas, Javier ^a  

^a CSIC   (Spain)

^b Celgene Institute for Translational Research Europe CITRE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; CLUSTER ANALYSIS; COMPUTER PROGRAM; ENTORHINAL CORTEX; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; HUMAN; METABOLISM; NERVE CELL; PROCEDURES;

ALZHEIMER DISEASE; CLUSTER ANALYSIS; ENTORHINAL CORTEX; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; NEURONS; SOFTWARE;

EID: 84929623935     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu864     Document Type: Article

References (4)

1. Alexa A. and Rahnenfuhrer J. (2010). topGO: Enrichment analysis for Gene Ontology. R package version 2.18.0
2. Fontanillo C., et al. (2011). Functional analysis beyond enrichment: nonredundant reciprocal linkage of genes and biological terms. PLoS One, 6, e24289
3. Huang D., et al. (2009). Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources. Nat. Protoc., 4, 44-57
4. Luo W., et al. (2009). GAGE: generally applicable gene set enrichment for pathway analysis. BMC Bioinformatics, 10, 161