A new Bayesian piecewise linear regression model for dynamic network reconstruction
Abstract Background Linear regression models are important tools for learning regulatory networks from gene expression time series. A conventional assumption for non-homogeneous regulatory processes on a short time scale is that the network structure stays constant across time, while the network par...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-04-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-021-03998-9 |