Using discriminative vector machine model with 2DPCA to predict interactions among proteins
Using discriminative vector machine model with 2DPCA to predict interactions among proteins
About this item
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Author / Creator
Li, Zhengwei , Nie, Ru , You, Zhuhong , Cao, Chen and Li, Jiashu
Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
The interactions among proteins act as crucial roles in most cellular processes. Despite enormous effort put for identifying protein-protein interactions (PPIs) from a large number of organisms, existing firsthand biological experimental methods are high cost, low efficiency, and high false-positive rate. The application of in silico methods opens...
Alternative Titles
Full title
Using discriminative vector machine model with 2DPCA to predict interactions among proteins
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TN_cdi_doaj_primary_oai_doaj_org_article_35045953affc4d17a2919a11f5d7a130
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35045953affc4d17a2919a11f5d7a130
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-019-3268-5
