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Manifold learning reveals nonlinear structure in metagenomic profiles

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成果类型:
期刊论文、会议论文
作者:
Jiang, Xingpeng(蒋兴鹏);Hu, Xiaohua;Shen, Huiyu;He, Tingting(何婷婷
通讯作者:
Jiang, X.
作者机构:
College of Information Science and Technology, Drexel University, Philadelphia, PA, United States
Central China Normal University, Wuhan, Hubei, China
通讯机构:
College of Information Science and Technology, Drexel University, United States
语种:
英文
关键词:
Isomap;Nonlinear dimension reduction;metagenomic profile;non-negative matrix factorization;principle component analysis
年:
2012
页码:
5-10
会议名称:
IEEE International Conference on Bioinformatics and Biomedicine
会议论文集名称:
2012 IEEE international conference on bioinformatics and biomedicine
会议时间:
2012-10-04
会议地点:
Philadelphia, PA(US)
机构署名:
本校为其他机构
摘要:
Using metagenomics to detect the global structure of microbial community remains a significant challenge. The structure of a microbial community and its functions are complicated not only because of the complex interactions among microbes but also their complicate interacting with confounding environmental factors. Recently dimension reduction methods such as Principle component analysis, Non-negative matrix factorization and Canonical correlation analysis have been employed extensively to investigate the complex structure embedded in metagenomic profiles which summarize the abundance of funct...

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