Correlating transcriptional networks to breast cancer survival: a large-scale coexpression analysis
Weighted gene coexpression network analysis (WGCNA) is a powerful 'guilt-by-association'-
based method to extract coexpressed groups of genes from large heterogeneous …
based method to extract coexpressed groups of genes from large heterogeneous …
Genes2FANs: connecting genes through functional association networks
R Dannenfelser, NR Clark, A Ma'ayan - BMC bioinformatics, 2012 - Springer
Background Protein-protein, cell signaling, metabolic, and transcriptional interaction
networks are useful for identifying connections between lists of experimentally identified …
networks are useful for identifying connections between lists of experimentally identified …
A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organization
J Tuikkala, H Vähämaa, P Salmela, OS Nevalainen… - BioData mining, 2012 - Springer
Background Graph drawing is an integral part of many systems biology studies, enabling
visual exploration and mining of large-scale biological networks. While a number of layout …
visual exploration and mining of large-scale biological networks. While a number of layout …
CGCDB: A web‐based resource for the investigation of gene coexpression in CHO cell culture
C Clarke, P Doolan, N Barron… - Biotechnology and …, 2012 - Wiley Online Library
Coexpression analysis is a powerful, widely used methodology for the investigation of
underlying patterns in gene expression data. This “guilt‐by‐association” approach aims to …
underlying patterns in gene expression data. This “guilt‐by‐association” approach aims to …