Generative modeling of single-cell time series with PRESCIENT enables prediction of cell trajectories with interventions

Autor: Grace Hui Ting Yeo, Sachit D. Saksena, David K. Gifford
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-23518-w
Popis: Single-cell RNA-Seq allows us to observe snapshots of how biological systems change over time at cellular resolution. Here, the authors develop a generative framework that uses time-resolved single-cell data to model how cells change in physical time, including in response to perturbations.
Databáze: Directory of Open Access Journals