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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Main Authors: | Samuel S. Boyd, Chad Slawson, Jeffrey A. Thompson |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-02-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-025-06063-x |
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