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Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis

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 t...

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Detalles Bibliográficos
Autores principales: Wang, Lin, Sun, Ying, Jiang, Minghu, Zheng, Xiguang
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2668912/
https://www.ncbi.nlm.nih.gov/pubmed/19390583
http://dx.doi.org/10.1155/2009/726728
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author Wang, Lin
Sun, Ying
Jiang, Minghu
Zheng, Xiguang
author_facet Wang, Lin
Sun, Ying
Jiang, Minghu
Zheng, Xiguang
author_sort Wang, Lin
collection PubMed
description 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.
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spelling pubmed-26689122009-04-22 Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis Wang, Lin Sun, Ying Jiang, Minghu Zheng, Xiguang J Biomed Biotechnol Research Article 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. Hindawi Publishing Corporation 2009 2009-04-14 /pmc/articles/PMC2668912/ /pubmed/19390583 http://dx.doi.org/10.1155/2009/726728 Text en Copyright © 2009 Lin Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Lin
Sun, Ying
Jiang, Minghu
Zheng, Xiguang
Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
title Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
title_full Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
title_fullStr Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
title_full_unstemmed Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
title_short Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
title_sort integrative decomposition procedure and kappa statistics for the distinguished single molecular network construction and analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2668912/
https://www.ncbi.nlm.nih.gov/pubmed/19390583
http://dx.doi.org/10.1155/2009/726728
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