SINCERITIES: inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles

MOTIVATION: Single cell transcriptional profiling opens up a new avenue in studying the functional role of cell-to-cell variability in physiological processes. The analysis of single cell expression profiles creates new challenges due to the distributive nature of the data and the stochastic dynamic...

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Detalles Bibliográficos
Autores principales: Papili Gao, Nan, Ud-Dean, S M Minhaz, Gandrillon, Olivier, Gunawan, Rudiyanto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860204/
https://www.ncbi.nlm.nih.gov/pubmed/28968704
http://dx.doi.org/10.1093/bioinformatics/btx575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860204/
https://www.ncbi.nlm.nih.gov/pubmed/28968704
http://dx.doi.org/10.1093/bioinformatics/btx575

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