TY - JOUR T1 - Cell type prioritization in single-cell data JF - bioRxiv DO - 10.1101/2019.12.20.884916 SP - 2019.12.20.884916 AU - Michael A. Skinnider AU - Jordan W. Squair AU - Claudia Kathe AU - Mark A. Anderson AU - Matthieu Gautier AU - Kaya J.E. Matson AU - Marco Milano AU - Thomas H. Hutson AU - Quentin Barraud AU - Aaron A. Phillips AU - Leonard J. Foster AU - Gioele La Manno AU - Ariel J. Levine AU - Grégoire Courtine Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/12/23/2019.12.20.884916.abstract N2 - We present a machine-learning method to prioritize the cell types most responsive to biological perturbations within high-dimensional single-cell data. We validate our method, Augur (https://github.com/neurorestore/Augur), on a compendium of single-cell RNA-seq, chromatin accessibility, and imaging transcriptomics datasets. We apply Augur to expose the neural circuits that enable walking after paralysis in response to spinal cord neurostimulation. ER -