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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| 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 |