Metrics to estimate differential co-expression networks
Abstract Background Detecting the differences in gene expression data is important for understanding the underlying molecular mechanisms. Although the differentially expressed genes are a large component, differences in correlation are becoming an interesting approach to achieving deeper insights. H...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-11-01
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| Series: | BioData Mining |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13040-017-0152-6 |