Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
Joint Authors
Wang, Lin
Zheng, Xiguang
Sun, Ying
Jiang, Minghu
Source
Journal of Biomedicine and Biotechnology
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-04-14
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Our method concentrates on and constructs the distinguished single gene network.
An integrated method was proposed based on linear programming and a decomposition procedure with integrated analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering.
We tested this method to identify ATF2 regulatory network module using data of 45 samples from the same GEO dataset.
The results demonstrate the effectiveness of such integrated way in terms of developing novel prognostic markers and therapeutic targets.
American Psychological Association (APA)
Wang, Lin& Sun, Ying& Jiang, Minghu& Zheng, Xiguang. 2009. Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis. Journal of Biomedicine and Biotechnology،Vol. 2009, no. 2009, pp.1-6.
https://search.emarefa.net/detail/BIM-493777
Modern Language Association (MLA)
Wang, Lin…[et al.]. Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis. Journal of Biomedicine and Biotechnology No. 2009 (2009), pp.1-6.
https://search.emarefa.net/detail/BIM-493777
American Medical Association (AMA)
Wang, Lin& Sun, Ying& Jiang, Minghu& Zheng, Xiguang. Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis. Journal of Biomedicine and Biotechnology. 2009. Vol. 2009, no. 2009, pp.1-6.
https://search.emarefa.net/detail/BIM-493777
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493777