@article{2646, author = {Michael Skinnider and Jordan Squair and Claudia Kathe and Mark Anderson and Matthieu Gautier and Kaya Matson and Marco Milano and Thomas Hutson and Quentin Barraud and Aaron Phillips and Leonard Foster and Gioele La Manno and Ariel Levine and Gr{\'e}goire Courtine}, title = {Cell type prioritization in single-cell data.}, abstract = {

We present Augur, a method to prioritize the cell types most responsive to biological perturbations in single-cell data. Augur employs a machine-learning framework to quantify the separability of perturbed and unperturbed cells within a high-dimensional space. We validate our method on single-cell RNA sequencing, chromatin accessibility and imaging transcriptomics datasets, and show that Augur outperforms existing methods based on differential gene expression. Augur identified the neural circuits restoring locomotion in mice following spinal cord neurostimulation.

}, year = {2021}, journal = {Nature biotechnology}, volume = {39}, pages = {30-34}, month = {01/2021}, issn = {1546-1696}, doi = {10.1038/s41587-020-0605-1}, language = {eng}, }