Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks-Reference-Cited by-同舟云学术

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Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks

Published:2018-01-12 Issue:1 Volume:34 Page:93-103
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Cao Buwen¹²,Deng Shuguang³,Luo Jiawei²,Ding Pingjian²,Wang Shulin²

Affiliation:

1. School of Information Science and Engineering, Hunan City University, Yiyang, China

2. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

3. College of Communication and Electronic Engineering, Hunan City University, Yiyang, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference39 articles.

1. An efficient algorithm for largescale detection of protein families;Enright;Nucleic Acids Research,2002

2. Protein complex prediction via cost-based clustering;King;Bioinformatics,2004

3. Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO);Dwight;Nucleic Acids Research,2002

4. An automated method for finding mulecular complexes in large protein interaction networks;Bader;BMC Bioinformatics,2003

5. Development and implementation of an algorithm for detection of protein complexes in large interaction networks;Altaf-Ul-Amin;BMC Bioinformatics,2006

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1. T-S fuzzy model identification based on an improved interval type-2 fuzzy c-regression model;Journal of Intelligent & Fuzzy Systems;2023-03-09

2. Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module;Journal of Computational Biology;2021-01-01

3. Uncertainty, imprecision, and many-valued logics in protein bioinformatics;Mathematical Biosciences;2019-03

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