MPINet: metabolite pathway identification via coupling of global metabolite network structure and metabolomic profile.

ABSTRACT: High-throughput metabolomics technology, such as gas chromatography mass spectrometry, allows the analysis of hundreds of metabolites. Understanding that these metabolites dominate the study condition from biological pathway perspective is still a significant challenge. Pathway identification is an invaluable aid to address this issue and, thus, is urgently needed. In this study, we developed a network-based metabolite pathway identification method, MPINet, which considers the global importance of metabolites and the unique character of metabolomic profile. Through integrating the global metabolite functional network structure and the character of metabolomic profile, MPINet provides a more accurate metabolomic pathway analysis. This integrative strategy simultaneously captures the global

SUBMITTER: Li F 

PROVIDER: S-EPMC4095715 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature