Article

An explainable graph neural network approach for effectively integrating multi-omics with prior knowledge to identify biomarkers from interacting biological domains

2024-08-26

Abstract excerpt

The rapid growth of multi-omics datasets, in addition to the wealth of existing biological prior knowledge, necessitates the development of effective methods for their integration. Such methods are essential for building predictive models and identifying disease-related molecular markers. We propose a framework for supervised integration of multi-omics data with biological priors represented as knowledge graphs. O...

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Literature Corpus work: e31f7dc3-63af-56d0-aa8c-414230e0724e
DOI: 10.1101/2024.08.23.609465

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