Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68223
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLaw, NF-
dc.creatorCheng, KO-
dc.creatorSiu, WC-
dc.date.accessioned2017-07-27T08:35:56Z-
dc.date.available2017-07-27T08:35:56Z-
dc.identifier.issn0973-2063en_US
dc.identifier.urihttp://hdl.handle.net/10397/68223-
dc.language.isoenen_US
dc.publisherBiomedical Informatics Publishing Groupen_US
dc.rights© 2006 Biomedical Informatics Publishing Groupen_US
dc.rightsThis is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.en_US
dc.rightsThe following publication Law, N. F., Cheng, K. O., & Siu, W. C. (2006). On relationship of Z-curve and fourier approaches for DNA coding sequence classification. Bioinformation, 1(7), 242-246 is available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891701/en_US
dc.subjectZ-Curve approachen_US
dc.subjectFT analysisen_US
dc.subjectDNA sequenceen_US
dc.subjectCoding regionen_US
dc.subjectSpectral analysisen_US
dc.titleOn relationship of Z-curve and fourier approaches for DNA coding sequence classificationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage242en_US
dc.identifier.epage246en_US
dc.identifier.volume1en_US
dc.identifier.issue7en_US
dcterms.abstractZ-curve features are one of the popular features used in exon/intron classification. We showed that although both Z-curve and Fourier approaches are based on detecting 3-periodicity in coding regions, there are significant differences in their spectral formulation. From the spectral formulation of the Z-curve, we obtained three modified sequences that characterize different biological properties. Spectral analysis on the modified sequences showed a much more prominent 3-periodicity peak in coding regions than the Fourier approach. For long sequences, prominent peaks at 2Π/3 are observed at coding regions, whereas for short sequences, clearly discernible peaks are still visible. Better classification can be obtained using spectral features derived from the modified sequences.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBioinformation, 2006, v. 1, no. 7, p. 242-246-
dcterms.isPartOfBioinformation-
dcterms.issued2006-
dc.identifier.pmid1891701-
dc.identifier.rosgroupidr34802-
dc.description.ros2006-2007 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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