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Volumn 3, Issue 2, 2005, Pages 84-93

A hybrid SOM-SVM approach for the zebrafish gene expression analysis

Author keywords

Classification; Clustering; Self organizing map; Support vector machine

Indexed keywords

TRANSCRIPTION FACTOR;

EID: 29544432473     PISSN: 16720229     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (12)
  • 1
    • 0037332486 scopus 로고    scopus 로고
    • 15,000 Unique zebrafish EST clusters and their future use in microarray for profiling gene expression patterns during embryogenesis
    • Lo, J., et al. 2003. 15,000 unique zebrafish EST clusters and their future use in microarray for profiling gene expression patterns during embryogenesis. Genome Res. 13: 455-466.
    • (2003) Genome Res. , vol.13 , pp. 455-466
    • Lo, J.1
  • 2
    • 0025489075 scopus 로고
    • The self-organizing map
    • Kohonen, T. 1990. The self-organizing map. Proc. IEEE 78: 1464-1480.
    • (1990) Proc. IEEE , vol.78 , pp. 1464-1480
    • Kohonen, T.1
  • 4
    • 0037342510 scopus 로고    scopus 로고
    • Comparisons and validation of statistical clustering techniques for microarray gene expression data
    • Datta, S. and Datta, S. 2003. Comparisons and validation of statistical clustering techniques for microarray gene expression data. Bioinformatics 19: 459-466.
    • (2003) Bioinformatics , vol.19 , pp. 459-466
    • Datta, S.1    Datta, S.2
  • 6
    • 0033027794 scopus 로고    scopus 로고
    • Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
    • Tamayo, P., et al. 1999. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. Proc. Natl. Acad. Sci. USA 96: 2907-2912.
    • (1999) Proc. Natl. Acad. Sci. USA , vol.96 , pp. 2907-2912
    • Tamayo, P.1
  • 9
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cancer tissue samples using microarray expression data
    • Furey, T.S., et al. 2000. Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16: 906-914.
    • (2000) Bioinformatics , vol.16 , pp. 906-914
    • Furey, T.S.1
  • 11
    • 0034602774 scopus 로고    scopus 로고
    • Knowledge-based analysis of microarray gene expression data by using support vector machines
    • Brown, M.P., et al. 2000. Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc. Natl. Acad. Sci. USA 97: 262-267.
    • (2000) Proc. Natl. Acad. Sci. USA , vol.97 , pp. 262-267
    • Brown, M.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.