期刊论文、会议论文

Liu, Junwan

英文

BMC Genomics

1471-2164

2011

12

2

1-7

IEEE International Conference on Bioinformatics and Biomedicine

DEC 18-21, 2010

Hong Kong, PEOPLES R CHINA

[Liu, Junwan] Cent S Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.^[Li, Zhoujun] Beihang Univ, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China.^[Li, Zhoujun] BeiHang Univ, Beijing Key Lab Network Technol, Beijing 100191, Peoples R China.^[Hu, Xiaohua] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.^[Chen, Yiming] Hunan Agr Univ, Sch Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.^[Park, E. K.] CSI CUNY, Staten Isl, NY USA.

IEEE

CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

BMC

10.1186/1471-2164-12-S2-S11

This work was supported by the National Natural Science Foundation of China (60973105), the fund of the State Key Laboratory of Software Development Environment, Scientific Research Fund of Hunan Provincial Education Department (09A105), Talents Import Fund of Central South University of Forestry and Technology (104-0177), NSF CCF 0905291 and NSF CCF 1049864 This article has been published as part of BMC Genomics Volume 12 Supplement 2, 2011: Selected articles from the IEEE International Conference on Bioinformatics and Biomedicine 2010. The full contents of the supplement are available online at http://www.biomedcentral.com/1471-2164/12?issue=S2.

本校为其他机构

Background: Newly microarray technologies yield large-scale datasets. The microarray datasets are usually presented in 2D matrices, where rows represent genes and columns represent experimental conditions. Systematic analysis of those datasets provides the increasing amount of information, which is urgently needed in the post-genomic era. Biclustering, which is a technique developed to allow simultaneous clustering of rows and columns of a dataset, might be useful to extract more accurate information from those datasets. Biclustering requires t...