학술논문
Batch effects removal for microbiome data via conditional quantile regression
Document Type
article
Author
Source
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
Here, the authors present ConQuR, a conditional quantile regression method that removes microbiome batch effects through non-parametric modeling of complex microbial read counts, while preserving the signals of interest.