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Volumn 3, Issue 4, 2005, Pages 965-988

Noise-robust soft clustering of gene expression time-course data

Author keywords

Clustering; Microarray data analysis; Noise robustness

Indexed keywords

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; COMPUTER PROGRAM; DATA ANALYSIS; DNA MICROARRAY; GENE CLUSTER; GENE EXPRESSION SYSTEM; NOISE; NONHUMAN; STATISTICAL PARAMETERS; TIME;

EID: 22544432531     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720005001375     Document Type: Article
Times cited : (333)

References (20)
  • 3
    • 0042863923 scopus 로고    scopus 로고
    • Analysis of gene expression data using self-organizing maps
    • Törönen P, Kolehmainen M, Wong G, Castren E, Analysis of gene expression data using self-organizing maps, FEBS Lett, 451(2):142-146, 1999.
    • (1999) FEBS Lett. , vol.451 , Issue.2 , pp. 142-146
    • Törönen, P.1    Kolehmainen, M.2    Wong, G.3    Castren, E.4
  • 4
    • 33044496467 scopus 로고    scopus 로고
    • CLICK: A clustering algorithm with applications to gene expression data
    • Sharon R, Shamir R, CLICK: A clustering algorithm with applications to gene expression data, Proceedings of the RECOMB 1999, pp. 307-316, 1999.
    • (1999) Proceedings of the RECOMB 1999 , pp. 307-316
    • Sharon, R.1    Shamir, R.2
  • 13
    • 0035014159 scopus 로고    scopus 로고
    • Analysis of temporal gene expression profiles
    • Lukashin A, Fuchs R, Analysis of temporal gene expression profiles, Bioinformatics, 17(5):405-414, 2000.
    • (2000) Bioinformatics , vol.17 , Issue.5 , pp. 405-414
    • Lukashin, A.1    Fuchs, R.2
  • 15
    • 0032729435 scopus 로고    scopus 로고
    • Exploring expression data: Identification and analysis of coexpressed genes
    • Heyer LJ, Kruglyak S, Yooseph S, Exploring expression data: identification and analysis of coexpressed genes, Genome Res, 11:1106-1115, 1999.
    • (1999) Genome Res. , vol.11 , pp. 1106-1115
    • Heyer, L.J.1    Kruglyak, S.2    Yooseph, S.3
  • 17
    • 0031787969 scopus 로고    scopus 로고
    • Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation
    • Roth FP, Hughes JD, Estep PW, Church GM, Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation, Nature Biotech, 16:939-945, 1998.
    • (1998) Nature Biotech , vol.16 , pp. 939-945
    • Roth, F.P.1    Hughes, J.D.2    Estep, P.W.3    Church, G.M.4
  • 18
    • 0034628901 scopus 로고    scopus 로고
    • Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae
    • Hughes JD, Estep PW, Tavazoie S, Church GM, Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae, J Mol Biol, 296:1205-1214, 2000.
    • (2000) J. Mol. Biol. , vol.296 , pp. 1205-1214
    • Hughes, J.D.1    Estep, P.W.2    Tavazoie, S.3    Church, G.M.4
  • 19
    • 0037057374 scopus 로고    scopus 로고
    • Exploring the conditional coregulation of yeast expression through fuzzy k-means clustering
    • Gasch AP, Eisen MB, Exploring the conditional coregulation of yeast expression through fuzzy k-means clustering, Genome Biology 3(11):research0059.1-0059.22, 2002.
    • (2002) Genome Biology , vol.3 , Issue.11
    • Gasch, A.P.1    Eisen, M.B.2
  • 20
    • 17944394324 scopus 로고    scopus 로고
    • Fuzzy c-means method for clustering microarray data
    • Dembele D, Kastner P, Fuzzy c-means method for clustering microarray data, Bioinformatics, 19(8):973-980, 2002.
    • (2002) Bioinformatics , vol.19 , Issue.8 , pp. 973-980
    • Dembele, D.1    Kastner, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.