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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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書誌詳細
主要な著者: Liu, Zhenqiu, Chen, Dechang, Sheng, Li, Liu, Amy Y.
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3608598/
https://ncbi.nlm.nih.gov/pubmed/23555553
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0053253
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