Article

A Statistical Framework for Data Purification with Application to Microbiome Data Analysis

2021-09-13

Abstract excerpt

Identification of disease-associated microbial species is of great biological and clinical interest. However, this investigation still remains challenges due to heterogeneity in microbial composition between individuals, data quality issues, and complex relationships among species. In this paper, we propose a novel data purification algorithm that allows elimination of noise observations, which leads to increased...

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Literature Corpus work: d437f524-ebfc-5f04-937a-b5840cc69d04
DOI: 10.1101/2021.09.13.460157

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