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Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models

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成果类型:
期刊论文、会议论文
作者:
Chen, Xin*;He, TingTing(何婷婷);Hu, Xiaohua;An, Yuan;Wu, Xindong
通讯作者:
Chen, Xin
作者机构:
[Chen, Xin; Hu, Xiaohua; An, Yuan] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.
[He, TingTing] Cent China Normal Univ, Dept Comp Sci, Wuhan, Hubei, Peoples R China.
[Wu, Xindong] Univ Vermont, Dept Comp Sci, Burlington, VT USA.
通讯机构:
[Chen, Xin] D
Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.
语种:
英文
关键词:
Bioinformatics databases;Biological data mining;Metagenomics;Probabilistic topic model
期刊:
2011 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM 2011)
ISSN:
2156-1125
年:
2011
页码:
3-9
会议名称:
IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2011)
会议论文集名称:
2011 IEEE International Conference on Bioinformatics and Biomedicine
会议时间:
2011-01-01
会议地点:
Atlanta, Georgia, USA
会议主办单位:
[Chen, Xin;Hu, Xiaohua;An, Yuan] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.^[He, TingTing] Cent China Normal Univ, Dept Comp Sci, Wuhan, Hubei, Peoples R China.^[Wu, Xindong] Univ Vermont, Dept Comp Sci, Burlington, VT USA.
会议赞助商:
IEEE, IEEE Comp Soc
主编:
Wu, FX Zaki, M Morishita, S Pan, Y Wong, S Christianson, A Hu, X
出版地:
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者:
IEEE COMPUTER SOC
ISBN:
978-0-7695-4574-5
基金类别:
NSFCNational Natural Science Foundation of China (NSFC) [90920005]; [NSF CCF-0905337]; [NSF CCF 0905291]; [NSF CCF 1049864]
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
In this paper, based on the functional elements derived from non-redundant CDs catalogue, we show that the configuration of functional groups in meta-genome samples can be inferred by probabilistic topic modeling. The probabilistic topic modeling is a Bayesian method that is able to extract useful topical information from unlabeled data. When used to study microbial samples (assuming that relative abundance of functional elements is already obtained by a homology-based approach), each sample can be considered as a 'document', which has a mixture of functional groups, while each functional grou...

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