iDMET: network-based approach for integrating differential analysis of cancer metabolomics

Abstract Background Comprehensive metabolomic analyses have been conducted in various institutes and a large amount of metabolomic data are now publicly available. To help fully exploit such data and facilitate their interpretation, metabolomic data obtained from different facilities and different s...

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Bibliographic Details
Main Authors: Rira Matsuta, Hiroyuki Yamamoto, Masaru Tomita, Rintaro Saito
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-022-05068-0