ICAT: a novel algorithm to robustly identify cell states following perturbations in single cell transcriptomes
Files
First author draft
Date
2022-05-29
Authors
Hawkins, Dakota Y.
Zuch, Daniel T.
Huth, James
Rodriguez-Sastre, Nahomie
McCutcheon, Kelley R.
Glick, Abigail
Lion, Alexandra T.
Thomas, Christopher F.
Descoteaux, Abigail E.
Johnson, W. Evan
Version
First author draft
OA Version
Citation
D.Y. Hawkins, D.T. Zuch, J. Huth, N. Rodriguez-Sastre, K.R. McCutcheon, A. Glick, A.T. Lion, C.F. Thomas, A.E. Descoteaux, W.E. Johnson, C.A. Bradham. 2022. "ICAT: A Novel Algorithm to Robustly Identify Cell States Following Perturbations in Single Cell Transcriptomes" https://doi.org/10.1101/2022.05.26.493603
Abstract
Description
License
This version posted December 23, 2022. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a Creative Commons license Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)