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Gene differential coexpression analysis based on biweight correlation and maximum clique
Differential coexpression analysis usually requires the definition of 'distance' or 'similarity' between measured datasets. Until now, the most common choice is Pearson correlation coefficient. However, Pearson correlation coefficient is sensitive to outliers. Biweight midcorrela...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4271563/ https://ncbi.nlm.nih.gov/pubmed/25474074 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-S15-S3 |
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