Consistent metagenomic biomarker detection via robust PCA
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- 作者：Mustafa Alshawaqfeh ; Ahmad Bashaireh ; Erchin Serpedin ; Jan Suchodolski
- 关键词：Biomarker detection ; Metagenomics ; Robust PCA
- 刊名：Biology Direct
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：12
- 期：1
- 全文大小：1778KB
- 刊物主题：Life Sciences, general;
- 出版者：BioMed Central
- ISSN：1745-6150
- 卷排序：12
文摘
BackgroundRecent developments of high throughput sequencing technologies allow the characterization of the microbial communities inhabiting our world. Various metagenomic studies have suggested using microbial taxa as potential biomarkers for certain diseases. In practice, the number of available samples varies from experiment to experiment. Therefore, a robust biomarker detection algorithm is needed to provide a set of potential markers irrespective of the number of available samples. Consistent performance is essential to derive solid biological conclusions and to transfer these findings into clinical applications. Surprisingly, the consistency of a metagenomic biomarker detection algorithm with respect to the variation in the experiment size has not been addressed by the current state-of-art algorithms.