Article

Inference of disease-associated microbial gene modules based on metagenomic and metatranscriptomic data

2021-09-13

Abstract excerpt

The identification of disease-associated microbial characteristics is crucial for disease diagnosis and therapy. However, the heterogeneity, high dimensionality, and large amounts of microbial data present tremendous challenges for the discovery of key microbial features. In this paper, we present IDAM, a novel computational method for disease-associated gene module inference from metagenomic and metatranscriptomi...

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Literature Corpus work: e15dc583-6e39-52a3-978a-bc36a38b17eb
DOI: 10.1101/2021.09.13.460160

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