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

BioMed Research International

Issue

Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2009-03-16

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Medicine

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. BioMed Research International،Vol. 2009, no. 2009, pp.1-6.
https://search.emarefa.net/detail/BIM-988433

Modern Language Association (MLA)

Wang, Lin…[et al.]. Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis. BioMed Research International No. 2009 (2009), pp.1-6.
https://search.emarefa.net/detail/BIM-988433

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. BioMed Research International. 2009. Vol. 2009, no. 2009, pp.1-6.
https://search.emarefa.net/detail/BIM-988433

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-988433