Augmenting Microarray Data with Literature-Based Knowledge to Enhance Gene Regulatory Network Inference
Gene regulatory networks are a crucial aspect of systems biology in describing molecular mechanisms of the cell. Various computational models rely on random gene selection to infer such networks from microarray data. While incorporation of prior knowledge into data analysis has been deemed important...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055569/ |