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Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA)
Biological and medical sciences are increasingly acknowledging the significance of gene co-expression-networks for investigating complex-systems, phenotypes or diseases. Typically, complex phenotypes are investigated under varying conditions. While approaches for comparing nodes and links in two net...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7561188/ https://ncbi.nlm.nih.gov/pubmed/33057419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0240523 |
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