AMEND 2.0: module identification and multi-omic data integration with multiplex-heterogeneous graphs

AMEND 2.0: module identification and multi-omic data integration with multiplex-heterogeneous graphs

Abstract Background Multi-omic studies provide comprehensive insight into biological systems by evaluating cellular changes between normal and pathological conditions at multiple levels of measurement. Biological networks, which represent interactions or associations between biomolecules, have been...

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Bibliographic Details
Main Authors: Samuel S. Boyd, Chad Slawson, Jeffrey A. Thompson
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Bioinformatics
Subjects:
Biological networks
Active module identification
Multi-omic data integration
Online Access:https://doi.org/10.1186/s12859-025-06063-x
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