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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-11-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-022-05068-0 |