Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data
含大量零值的两部分模型截断秩检验及微生物组应用
High-throughput sequencing technology allows us to test the compositional difference of bacteria in different populations. One important feature of human microbiome data is that it often includes a large number of zeros. Such data can be treated as being generated from a two-part model that includes a zero point-mass. Motivated by analysis of such non-negative data with excessive zeros, we introduce several truncated rank-based two-group and multi-group tests for such data,…