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

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.

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Detalles Bibliográficos
Autores principales: Grace Hui Ting Yeo, Sachit D. Saksena, David K. Gifford
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/197cf2be15834f71b3824cd58fa503a3
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