Data‐driven modelling of a gene regulatory network for cell fate decisions in the growing limb bud
Abstract Parameter optimization coupled with model selection is a convenient approach to infer gene regulatory networks from experimental gene expression data, but so far it has been limited to single cells or static tissues where growth is not significant. Here, we present a computational study in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2015-07-01
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| Series: | Molecular Systems Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.15252/msb.20145882 |