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Selection of microbial biomarkers with genetic algorithm and principal component analysis
BACKGROUND: Principal components analysis (PCA) is often used to find characteristic patterns associated with certain diseases by reducing variable numbers before a predictive model is built, particularly when some variables are correlated. Usually, the first two or three components from PCA are use...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6904994/ https://ncbi.nlm.nih.gov/pubmed/31823717 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3001-4 |
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