Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series.
Stochastic chemical reaction networks constitute a model class to quantitatively describe dynamics and cell-to-cell variability in biological systems. The topology of these networks typically is only partially characterized due to experimental limitations. Current approaches for refining network top...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-12-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC5140059?pdf=render |