Academic Journal
Cell type prioritization in single-cell data.
| Τίτλος: | Cell type prioritization in single-cell data. |
|---|---|
| Συγγραφείς: | Skinnider, M.A., Squair, J.W., Kathe, C., Anderson, M.A., Gautier, M., Matson, KJE, Milano, M., Hutson, T.H., Barraud, Q., Phillips, A.A., Foster, L.J., La Manno, G., Levine, A.J., Courtine, G. |
| Έτος έκδοσης: | 2021 |
| Συλλογή: | Université de Lausanne (UNIL): Serval - Serveur académique lausannois |
| Θεματικοί όροι: | Animals, Chromatin/genetics, Chromatin/metabolism, Computational Biology/methods, Databases, Genetic, Gene Expression Profiling/methods, Machine Learning, Mice, Nerve Net/metabolism, Rats, Sequence Analysis, RNA, Single-Cell Analysis/methods, Transcriptome/genetics, Transcriptome/physiology, Walking/physiology |
| Περιγραφή: | 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. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 1546-1696 |
| Relation: | Nature Biotechnology; https://iris.unil.ch/handle/iris/82290; serval:BIB_6B2FE5BC2C8B; 000550630500001 |
| DOI: | 10.1038/s41587-020-0605-1 |
| Διαθεσιμότητα: | https://iris.unil.ch/handle/iris/82290 https://doi.org/10.1038/s41587-020-0605-1 |
| Αριθμός Καταχώρησης: | edsbas.EA31E949 |
| Βάση Δεδομένων: | BASE |
| ISSN: | 15461696 |
|---|---|
| DOI: | 10.1038/s41587-020-0605-1 |