An in silico method for detecting overlapping functional modules from composite biological networks

10.1186/1752-0509-2-93

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Bibliographic Details
Main Authors:	Maraziotis, I.A, Dimitrakopoulou, K, Bezerianos, A
Other Authors:	LIFE SCIENCES INSTITUTE
Format:	Article
Published:	BMC 2020
Subjects:	algorithm article biology DNA microarray gene expression profiling genetics metabolism protein binding proteomics reproducibility Saccharomyces cerevisiae Algorithms Computational Biology Gene Expression Profiling Oligonucleotide Array Sequence Analysis Protein Binding Proteomics Reproducibility of Results
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/178231
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-178231
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spelling	sg-nus-scholar.10635-1782312023-08-22T08:03:36Z An in silico method for detecting overlapping functional modules from composite biological networks Maraziotis, I.A Dimitrakopoulou, K Bezerianos, A LIFE SCIENCES INSTITUTE algorithm article biology DNA microarray gene expression profiling genetics metabolism protein binding proteomics reproducibility Saccharomyces cerevisiae Algorithms Computational Biology Gene Expression Profiling Oligonucleotide Array Sequence Analysis Protein Binding Proteomics Reproducibility of Results Saccharomyces cerevisiae 10.1186/1752-0509-2-93 BMC Systems Biology 2 93 2020-10-20T08:27:06Z 2020-10-20T08:27:06Z 2008 Article Maraziotis, I.A, Dimitrakopoulou, K, Bezerianos, A (2008). An in silico method for detecting overlapping functional modules from composite biological networks. BMC Systems Biology 2 : 93. ScholarBank@NUS Repository. https://doi.org/10.1186/1752-0509-2-93 1752-0509 https://scholarbank.nus.edu.sg/handle/10635/178231 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ BMC Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	algorithm article biology DNA microarray gene expression profiling genetics metabolism protein binding proteomics reproducibility Saccharomyces cerevisiae Algorithms Computational Biology Gene Expression Profiling Oligonucleotide Array Sequence Analysis Protein Binding Proteomics Reproducibility of Results Saccharomyces cerevisiae
spellingShingle	algorithm article biology DNA microarray gene expression profiling genetics metabolism protein binding proteomics reproducibility Saccharomyces cerevisiae Algorithms Computational Biology Gene Expression Profiling Oligonucleotide Array Sequence Analysis Protein Binding Proteomics Reproducibility of Results Saccharomyces cerevisiae Maraziotis, I.A Dimitrakopoulou, K Bezerianos, A An in silico method for detecting overlapping functional modules from composite biological networks
description	10.1186/1752-0509-2-93
author2	LIFE SCIENCES INSTITUTE
author_facet	LIFE SCIENCES INSTITUTE Maraziotis, I.A Dimitrakopoulou, K Bezerianos, A
format	Article
author	Maraziotis, I.A Dimitrakopoulou, K Bezerianos, A
author_sort	Maraziotis, I.A
title	An in silico method for detecting overlapping functional modules from composite biological networks
title_short	An in silico method for detecting overlapping functional modules from composite biological networks
title_full	An in silico method for detecting overlapping functional modules from composite biological networks
title_fullStr	An in silico method for detecting overlapping functional modules from composite biological networks
title_full_unstemmed	An in silico method for detecting overlapping functional modules from composite biological networks
title_sort	in silico method for detecting overlapping functional modules from composite biological networks
publisher	BMC
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/178231
_version_	1779152198236635136

An in silico method for detecting overlapping functional modules from composite biological networks

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