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Multi-study inference of regulatory networks for more accurate models of gene regulation
Gene regulatory networks are composed of sub-networks that are often shared across biological processes, cell-types, and organisms. Leveraging multiple sources of information, such as publicly available gene expression datasets, could therefore be helpful when learning a network of interest. Integra...
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| Veröffentlicht in: | PLoS Comput Biol |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6363223/ https://ncbi.nlm.nih.gov/pubmed/30677040 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006591 |
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