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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Detalles Bibliográficos
Autores principales: Zhang, Ping, West, Nicholas P., Chen, Pin-Yen, Thang, Mike W. C., Price, Gareth, Cripps, Allan W., Cox, Amanda J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904994/
https://www.ncbi.nlm.nih.gov/pubmed/31823717
http://dx.doi.org/10.1186/s12859-019-3001-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904994/
https://www.ncbi.nlm.nih.gov/pubmed/31823717
http://dx.doi.org/10.1186/s12859-019-3001-4

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