zhouhj1994/LinDA: Linear model for differential abundance analysis

The package implements a simple, robust and highly scalable approach to tackle the compositional effects in differential abundance analysis. It fits linear regression models on the centered log2-ratio transformed data, identifies a bias term due to the transformation and compositional effect, and corrects the bias using the mode of the regression coefficients. It could fit mixed-effect models.

Getting started

Package details

AuthorHuijuan Zhou, Jun Chen, Xianyang Zhang, Kejun He
MaintainerHuijuan Zhou <huijuanzhou2019@gmail.com>
LicenseGPL-2
Version0.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("zhouhj1994/LinDA")
zhouhj1994/LinDA documentation built on Jan. 30, 2024, 5:54 p.m.