Systematic assessment of protein interaction data using graph topology approaches

Ph.D

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Main Author: CHEN JIN
Other Authors: COMPUTER SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/16183
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-161832020-11-18T04:18:40Z Systematic assessment of protein interaction data using graph topology approaches CHEN JIN COMPUTER SCIENCE HSU, WYNNE LEE MONG LI, JANICE Protein Interaction Graph Topology Data Mining Ph.D DOCTOR OF PHILOSOPHY 2010-04-08T11:01:57Z 2010-04-08T11:01:57Z 2007-04-25 Thesis CHEN JIN (2007-04-25). Systematic assessment of protein interaction data using graph topology approaches. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/16183 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Protein Interaction Graph Topology Data Mining
spellingShingle Protein Interaction Graph Topology Data Mining
CHEN JIN
Systematic assessment of protein interaction data using graph topology approaches
description Ph.D
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
CHEN JIN
format Theses and Dissertations
author CHEN JIN
author_sort CHEN JIN
title Systematic assessment of protein interaction data using graph topology approaches
title_short Systematic assessment of protein interaction data using graph topology approaches
title_full Systematic assessment of protein interaction data using graph topology approaches
title_fullStr Systematic assessment of protein interaction data using graph topology approaches
title_full_unstemmed Systematic assessment of protein interaction data using graph topology approaches
title_sort systematic assessment of protein interaction data using graph topology approaches
publishDate 2010
url https://scholarbank.nus.edu.sg/handle/10635/16183
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