Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks
Motivation: Inferring global regulatory networks (GRNs) from genome-wide data is a computational challenge central to the field of systems biology. Although the primary data currently used to infer GRNs consist of gene expression and proteomics measurements, there is a growing abundance of alternate...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624811/ |