Cell type prioritization in single-cell data
Michael A. Skinnider, Jordan W. Squair, Claudia Kathe, Mark A. Anderson, Matthieu Gautier, Kaya J.E. Matson, Marco Milano, Thomas H. Hutson, Quentin Barraud, Aaron A. Phillips, Leonard J. Foster, Gioele La Manno, Ariel J. Levine, Grégoire Courtine
Abstract
Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomy of clusters. We present Augur, a method to prioritize the cell types most responsive to biological perturbations in single-cell data.
Publication
Nature Biotechnology 38, 30-34 (2020)