Abstract: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 inferring robust associations, imitating the twins in genetic research. From the original groups, paired samples of distinct phe… Show more
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