Instruct: Identify the main category of Biorxiv papers based on the titles and abstracts
Query: Inference of disease-associated microbial biomarkers based on metagenomic and metatranscriptomic data The identification of disease-associated microbial biomarkers 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 biomarkers. In this paper, we present IDAM, a novel method for disease-associated biomarker inference from metagenomic and metatranscriptomic data, which does not require prior metadata. This method integrates gene context conservation (uber-operon) and regulatory mechanisms (gene co-expression patterns), using a mathematical graph model. We demonstrated the excellent performance of IDAM in biomarker inference, through the datasets from inflammatory bowel disease, melanoma, type 1 diabetes mellitus, and irritable bowel syndrome. The software of IDAM is freely available at https://github.com/OSU-BMBL/IDAM.
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The categories of this paper are: immunology
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The categories of this paper are: epidemiology
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The categories of this paper are: paleontology
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The categories of this paper are: bioengineering
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The categories of this paper are: biophysics
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The categories of this paper are: physiology
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The categories of this paper are: microbiology
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The categories of this paper are: and
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The categories of this paper are: behavior
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The categories of this paper are: cancer
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The categories of this paper are: toxicology
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The categories of this paper are: cognition
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The categories of this paper are: developmental
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The categories of this paper are: molecular
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The categories of this paper are: genomics
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The categories of this paper are: communication