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Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure
BACKGROUND: Biological insights into group differences, such as disease status, have been achieved through differential co-expression analysis of microarray data. Additional understanding of group differences may be achieved by integrating the connectivity structure of the differential co-expression...
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| Veröffentlicht in: | BioData Min |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4326454/ https://ncbi.nlm.nih.gov/pubmed/25685197 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-015-0040-x |
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