Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/68223
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Law, NF | - |
dc.creator | Cheng, KO | - |
dc.creator | Siu, WC | - |
dc.date.accessioned | 2017-07-27T08:35:56Z | - |
dc.date.available | 2017-07-27T08:35:56Z | - |
dc.identifier.issn | 0973-2063 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/68223 | - |
dc.language.iso | en | en_US |
dc.publisher | Biomedical Informatics Publishing Group | en_US |
dc.rights | © 2006 Biomedical Informatics Publishing Group | en_US |
dc.rights | This 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.rights | The 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.subject | Z-Curve approach | en_US |
dc.subject | FT analysis | en_US |
dc.subject | DNA sequence | en_US |
dc.subject | Coding region | en_US |
dc.subject | Spectral analysis | en_US |
dc.title | On relationship of Z-curve and fourier approaches for DNA coding sequence classification | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 242 | en_US |
dc.identifier.epage | 246 | en_US |
dc.identifier.volume | 1 | en_US |
dc.identifier.issue | 7 | en_US |
dcterms.abstract | Z-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.accessRights | open access | en_US |
dcterms.bibliographicCitation | Bioinformation, 2006, v. 1, no. 7, p. 242-246 | - |
dcterms.isPartOf | Bioinformation | - |
dcterms.issued | 2006 | - |
dc.identifier.pmid | 1891701 | - |
dc.identifier.rosgroupid | r34802 | - |
dc.description.ros | 2006-2007 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Law_Relationship_Z-Curve_Fourier.pdf | 846.1 kB | Adobe PDF | View/Open |
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