메뉴 건너뛰기




Volumn 9, Issue 1, 2010, Pages

Classification of genomic sequences via wavelet variance and a self-organizing map with an application to mitochondrial DNA

Author keywords

binary sequences; estimated wavelet variance; MODWT; oligonucleotide patterns; supervised Kohonen's map

Indexed keywords

MITOCHONDRIAL DNA;

EID: 77955258486     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1562     Document Type: Article
Times cited : (5)

References (17)
  • 1
    • 31844456638 scopus 로고    scopus 로고
    • Self-Organizing Map (SOM) unveils and visualizes hidden sequence characteristics of a wide range of eukaryote genomes
    • Abe, T., H. Sugawara, S. Kanaya, M. Kinouchi, and T. Ikemura (2006): "Self-Organizing Map (SOM) unveils and visualizes hidden sequence characteristics of a wide range of eukaryote genomes," Gene, 365, 27-34.
    • (2006) Gene , vol.365 , pp. 27-34
    • Abe, T.1    Sugawara, H.2    Kanaya, S.3    Kinouchi, M.4    Ikemura, T.5
  • 2
    • 30344482922 scopus 로고    scopus 로고
    • The population biology of mitochondrial DNA and its phylogenetic implications
    • Ballard, J. and D. Rand (2005): "The population biology of mitochondrial DNA and its phylogenetic implications," Annual Review of Ecology Evolution and System-atics, 36, 621-642.
    • (2005) Annual Review of Ecology Evolution and System-atics , vol.36 , pp. 621-642
    • Ballard, J.1    Rand, D.2
  • 4
    • 0029060923 scopus 로고
    • Dinucleotide relative abundance extremes: A ge-nomic signature
    • Karlin, S. and C. Burge (1995): "Dinucleotide relative abundance extremes: a ge-nomic signature," Trends in Genetics, 11, 283-290.
    • (1995) Trends in Genetics , vol.11 , pp. 283-290
    • Karlin, S.1    Burge, C.2
  • 5
    • 0035966303 scopus 로고    scopus 로고
    • Extending the Kohonen self-organizing map networks for clustering analysis
    • Kiang, M. (2001): "Extending the Kohonen self-organizing map networks for clustering analysis," Computational Statistics & Data Analysis, 38, 161-180.
    • (2001) Computational Statistics & Data Analysis , vol.38 , pp. 161-180
    • Kiang, M.1
  • 6
    • 38849174305 scopus 로고    scopus 로고
    • Self-Organizing Maps with Statistical Phase Synchronization (SOMPS) for Analyzing Cell Cycle-Specific Gene Expression Data
    • Kim, C.-S. (2008): "Self-Organizing Maps with Statistical Phase Synchronization (SOMPS) for Analyzing Cell Cycle-Specific Gene Expression Data," Statistical Applications in Genetics and Molecular Biology, 7, 1-32.
    • (2008) Statistical Applications in Genetics and Molecular Biology , vol.7 , pp. 1-32
    • Kim, C.-S.1
  • 8
    • 27544514380 scopus 로고    scopus 로고
    • Identification of coding and non-coding sequences using local Hölder exponent formalism
    • Kulkarni, O., R. Vigneshwar, V. Jayaraman, and B. Kulkanri (2005): "Identification of coding and non-coding sequences using local Hölder exponent formalism," Bioinformatics, 21, 3818-3823.
    • (2005) Bioinformatics , vol.21 , pp. 3818-3823
    • Kulkarni, O.1    Vigneshwar, R.2    Jayaraman, V.3    Kulkanri, B.4
  • 9
    • 34247480179 scopus 로고
    • Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root
    • Kwiatkowski, D., P. C. B. Phillips, P. Schmidt, and Y. Shin (1992): "Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root" Journal of Econometrics, 54, 159-178.
    • (1992) Journal of Econometrics , vol.54 , pp. 159-178
    • Kwiatkowski, D.1    Phillips, P.C.B.2    Schmidt, P.3    Shin, Y.4
  • 10
    • 0033637404 scopus 로고    scopus 로고
    • Finding pathogenicity islands and gene transfer events in genome data
    • Liò, P. and M. Vannucci (2000): "Finding pathogenicity islands and gene transfer events in genome data," Bioinformatics, 16, 932-940.
    • (2000) Bioinformatics , vol.16 , pp. 932-940
    • Liò, P.1    Vannucci, M.2
  • 11
    • 47049115023 scopus 로고    scopus 로고
    • Hyperbolic SOM-based clustering of DNA fragments features for taxonomic visualization and classification
    • Martin, C., N. Diaz, J. Ontrup, and T. Nattkemper (2008): "Hyperbolic SOM-based clustering of DNA fragments features for taxonomic visualization and classification," Bioinformatics, 24, 1568-1574.
    • (2008) Bioinformatics , vol.24 , pp. 1568-1574
    • Martin, C.1    Diaz, N.2    Ontrup, J.3    Nattkemper, T.4
  • 13
    • 77955251660 scopus 로고    scopus 로고
    • Zoology, McGraw-Hill, New York
    • Miller, S. and J. P. Harley (2007): Zoology, McGraw-Hill, New York.
    • (2007)
    • Miller, S.1    Harley, J.P.2
  • 16
    • 77955259938 scopus 로고    scopus 로고
    • Biological data mining for genomic clustering using unsupervised neural learning
    • Sen, S., S. Narasimhan, and A. Konar (2007): "Biological data mining for genomic clustering using unsupervised neural learning," Engineering Letters, 14, 1-11.
    • (2007) Engineering Letters , vol.14 , pp. 1-11
    • Sen, S.1    Narasimhan, S.2    Konar, A.3
  • 17
    • 36048959493 scopus 로고    scopus 로고
    • Self-and Super-organizing Maps in R: The kohonen Package
    • Wehrens, R. and L. Buydnes (2007): "Self-and Super-organizing Maps in R: The kohonen Package," Journal of Statistical Software, 21, 1-19.
    • (2007) Journal of Statistical Software , vol.21 , pp. 1-19
    • Wehrens, R.1    Buydnes, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.