生物医学データマイニングの国際ジャーナル
オープンアクセス

概要

Descriptive and predictive analysis of gene co-expression networks

Harun Pirim

Ample availability of gene co-expression data challenges researchers to find and apply unique approaches for extracting biological information to infer about gene functions or predict gene-disease relations. By means of reliable co-expression network construction techniques compiled networks exist and they require further predictive analysis to focus on the genes or groups of the genes exhibiting certain patterns reflected on the co-expression networks. We propose an integrated network analysis where social network descriptive analysis techniques are borrowed to summarize some structural features of the network. Then, the features are employed in optimization models to find groups of genes exhibiting certain patterns.