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Inferring interaction type in gene regulatory networks using co-expression data
BACKGROUND: Knowledge of interaction types in biological networks is important for understanding the functional organization of the cell. Currently information-based approaches are widely used for inferring gene regulatory interactions from genomics data, such as gene expression profiles; however, t...
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| Publicado no: | Algorithms Mol Biol |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4495944/ https://ncbi.nlm.nih.gov/pubmed/26157474 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13015-015-0054-4 |
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