Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models
Background: Biological entities such as genes, promoters, mRNA, metabolites or proteins do not act alone, but in concert in their network context. Modules, i.e., groups of nodes with similar topological properties in these networks characterize important biological functions of the underlying biomol...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2020
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Online Access: | https://hdl.handle.net/10356/142617 |
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Institution: | Nanyang Technological University |
Language: | English |