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dc.contributor.authorSharma, Alok
dc.contributor.authorSharma, Ronesh
dc.contributor.authorDehzangi, Abdollah
dc.contributor.authorLyons, James
dc.contributor.authorPaliwal, Kuldip
dc.contributor.authorTsunoda, Tatsuhiko
dc.date.accessioned2018-03-07T02:14:18Z
dc.date.available2018-03-07T02:14:18Z
dc.date.issued2015
dc.identifier.isbn9781509007134
dc.identifier.doi10.1109/APWCCSE.2015.7476132
dc.identifier.urihttp://hdl.handle.net/10072/123655
dc.description.abstractInterpreting tertiary structure of a protein has been a crucial task in the field of biosciences. This problem can be addressed by detecting protein folds which is considered as an intermediate step in the tertiary structure prediction. From the perspective of computational sciences, the protein fold recognition can be subdivided in two steps: 1) feature extraction of protein sequences, and 2) identifying extracted features using appropriate classifiers. These steps are important to accurately identify folds of a novel protein sequence. In order to fully characterize a protein sequence, the number of features required is large and sometimes even unmanageable. This high dimensionality of features is difficult to process using conventional classifiers. Therefore, it is a challenge to develop and apply dimensionality reduction techniques for protein fold recognition. In this paper, we have emphasized the importance of dimensionality reduction techniques (DRTs) for protein fold recognition. To narrate, we have compared the recognition performance without DRT and with DRT on 3 benchmark datasets.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencename2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)
dc.relation.ispartofconferencetitle2015 2ND ASIA-PACIFIC WORLD CONGRESS ON COMPUTER SCIENCE AND ENGINEERING (APWC ON CSE 2015)
dc.relation.ispartofdatefrom2015-12-02
dc.relation.ispartofdateto2015-12-04
dc.relation.ispartoflocationNadi, FIJI
dc.relation.ispartofpagefrom6 pages
dc.relation.ispartofpageto6 pages
dc.subject.fieldofresearchChemical engineering not elsewhere classified
dc.subject.fieldofresearchcode400499
dc.titleImportance of Dimensionality Reduction in Protein Fold Recognition
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.hasfulltextNo Full Text
gro.griffith.authorPaliwal, Kuldip K.


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    Contains papers delivered by Griffith authors at national and international conferences.

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