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Article

MicroHDF: predicting host phenotypes with metagenomic data using a deep forest-based framework.

Briefings in bioinformatics - 23 Sept 2024

Shi Kai, Liu Qiaohui, Ji Qingrong, He Qisheng, Zhao Xing-Ming

Abstract excerpt

The gut microbiota plays a vital role in human health, and significant effort has been made to predict human phenotypes, especially diseases, with the microbiota as a promising indicator or predictor with machine learning (ML) methods. However, the accuracy is impacted by a lot of factors when predicting host phenotypes with the metagenomic data, e.g. small sample size, class imbalance, high-dimensional features,...

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PMID: 39446191
DOI: 10.1093/bib/bbae530
PMCID: PMC11500453

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