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Class Prediction and Feature Selection with Linear Optimization for Metagenomic Count Data

The amount of metagenomic data is growing rapidly while the computational methods for metagenome analysis are still in their infancy. It is important to develop novel statistical learning tools for the prediction of associations between bacterial communities and disease phenotypes and for the detect...

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Detalles Bibliográficos
Autores principales: Liu, Zhenqiu, Chen, Dechang, Sheng, Li, Liu, Amy Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3608598/
https://www.ncbi.nlm.nih.gov/pubmed/23555553
http://dx.doi.org/10.1371/journal.pone.0053253