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Article

VTwins: Identifying Robust Associations from High-dimensional Data of Limited Samples

2021-02-06

Abstract excerpt

<title>Abstract</title> <p>Robust associations are strong indicators for causalities but challenging for identification from high-dimensional datasets. In examples of metagenomic research where microbiota is highly complex and variable, low concordance between studies in identifying disease-causative microbes has become the main obstacle in the field. Here, we develop a simple method—Virtual Twins (VTwins)—for in...

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Literature Corpus work
9b7dff32-530b-5b9e-baf4-691727159421
DOI
10.21203/rs.3.rs-116301/v1
Open publication

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VTwins: Identifying Robust Associations from High-dimensional Data of Limited SamplesDOI 10.21203/rs.3.rs-116301/v1
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