Releases: statdivlab/radEmu
v1.0.0 to accompany arXiv
This is our first official release of radEmu!
radEmu is a method for estimating and testing differential abundance of microbial taxa across covariate groups, without the need for pseudocounts, log-ratio transformations, priors, a single binary covariate, etc. It handles count and non-count data, making it relevant to both modeling shotgun sequencing depths as well as amplicon/ASV counts. Critically, it estimates a meaningful biological effect even in the presence of differential detection and uneven sequencing.
Many thanks to the attendees of STAMPS 2023 for their fantastic feedback that helped us improve the software and input/output.
Software authors: David S Clausen, Sarah Teichman and Amy D Willis
Methods authors: David S Clausen and Amy D Willis