A stochastic model dissects cell states in biological transition processes

A stochastic model dissects cell states in biological transition processes

Many biological processes, including differentiation, reprogramming, and disease transformations, involve transitions of cells through distinct states. Direct, unbiased investigation of cell states and their transitions is challenging due to several factors, including limitations of single-cell assa...

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Bibliographic Details
Main Authors: Armond, Jonathan W. (Author), Saha, Krishanu (Author), Rana, Anas A. (Author), Oates, Chris J. (Author), Jaenisch, Rudolf (Contributor), Nicodemi, Mario (Author), Mukherjee, Sach (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor), Whitehead Institute for Biomedical Research (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2014-07-08T19:40:12Z.
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