Computational approaches for detecting protein complexes from protein interaction networks: A survey

10.1186/1471-2164-11-S1-S3

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Main Authors:	Li, X, Wu, M, Kwoh, C, Ng, S
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Published:	2020
Subjects:	accuracy article Bayesian learning cluster analysis data analysis software data mining density fuzzy system gene expression genome hidden Markov model high throughput screening information processing mathematical analysis nonhuman prediction probability protein function protein protein interaction quality control recall reliability sensitivity and specificity simulation statistical significance biometry gene expression profiling human metabolism methodology protein analysis protein binding systems biology protein Biometry Gene Expression Profiling Humans Protein Binding Protein Interaction Mapping Proteins Systems Biology
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/181678
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1816782024-04-25T08:06:48Z Computational approaches for detecting protein complexes from protein interaction networks: A survey Li, X Wu, M Kwoh, C Ng, S DEPARTMENT OF COMPUTER SCIENCE accuracy article Bayesian learning cluster analysis data analysis software data mining density fuzzy system gene expression genome hidden Markov model high throughput screening information processing mathematical analysis nonhuman prediction probability protein function protein protein interaction quality control recall reliability sensitivity and specificity simulation statistical significance biometry gene expression profiling human metabolism methodology protein analysis protein binding systems biology protein Biometry Gene Expression Profiling Humans Protein Binding Protein Interaction Mapping Proteins Systems Biology 10.1186/1471-2164-11-S1-S3 BMC Genomics 11 SUPPL. 1 S3 2020-10-27T11:40:44Z 2020-10-27T11:40:44Z 2010 Article Li, X, Wu, M, Kwoh, C, Ng, S (2010). Computational approaches for detecting protein complexes from protein interaction networks: A survey. BMC Genomics 11 (SUPPL. 1) : S3. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2164-11-S1-S3 14712164 https://scholarbank.nus.edu.sg/handle/10635/181678 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	accuracy article Bayesian learning cluster analysis data analysis software data mining density fuzzy system gene expression genome hidden Markov model high throughput screening information processing mathematical analysis nonhuman prediction probability protein function protein protein interaction quality control recall reliability sensitivity and specificity simulation statistical significance biometry gene expression profiling human metabolism methodology protein analysis protein binding systems biology protein Biometry Gene Expression Profiling Humans Protein Binding Protein Interaction Mapping Proteins Systems Biology
spellingShingle	accuracy article Bayesian learning cluster analysis data analysis software data mining density fuzzy system gene expression genome hidden Markov model high throughput screening information processing mathematical analysis nonhuman prediction probability protein function protein protein interaction quality control recall reliability sensitivity and specificity simulation statistical significance biometry gene expression profiling human metabolism methodology protein analysis protein binding systems biology protein Biometry Gene Expression Profiling Humans Protein Binding Protein Interaction Mapping Proteins Systems Biology Li, X Wu, M Kwoh, C Ng, S Computational approaches for detecting protein complexes from protein interaction networks: A survey
description	10.1186/1471-2164-11-S1-S3
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE Li, X Wu, M Kwoh, C Ng, S
format	Article
author	Li, X Wu, M Kwoh, C Ng, S
author_sort	Li, X
title	Computational approaches for detecting protein complexes from protein interaction networks: A survey
title_short	Computational approaches for detecting protein complexes from protein interaction networks: A survey
title_full	Computational approaches for detecting protein complexes from protein interaction networks: A survey
title_fullStr	Computational approaches for detecting protein complexes from protein interaction networks: A survey
title_full_unstemmed	Computational approaches for detecting protein complexes from protein interaction networks: A survey
title_sort	computational approaches for detecting protein complexes from protein interaction networks: a survey
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/181678
_version_	1800914649037668352

Computational approaches for detecting protein complexes from protein interaction networks: A survey

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