FUMET: a fuzzy network module extraction technique for gene expression data.
Construction of co-expression network and extraction of network modules have been an appealing area of bioinformatics research. This article presents a co-expression network construction and a biologically relevant network module extraction technique based on fuzzy set theoretic approach. The technique is able to handle both positive and negative correlations among genes. The constructed network for some benchmark gene expression datasets have been validated using topological internal and external measures. The effectiveness of network module extraction technique has been established in terms of well-known p-value, Q-value and topological statistics.
Department of Computer Science and Engineering, Tezpur University, Napaam 784 028, India.
Priyakshi
P
Mahanta
Hasin Afzal
HA
Ahmed
Dhruba Kumar
DK
Bhattacharyya
Ashish
A
Ghosh
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D066264:Datasets as Topic; D017143:Fuzzy Logic; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks