메뉴 건너뛰기




Volumn 4, Issue , 2003, Pages

Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data

Author keywords

[No Author keywords available]

Indexed keywords

DNA; TUMOR MARKER;

EID: 2942601439     PISSN: 14712105     EISSN: None     Source Type: Journal    
DOI: 10.1186/1471-2105-4-60     Document Type: Article
Times cited : (78)

References (23)
  • 2
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ: Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci USA 1999, 96:6745-6750.
    • (1999) Proc. Natl. Acad. Sci. USA , vol.96 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7
  • 3
    • 0003775062 scopus 로고
    • Fuzzy models for pattern recognition method that search for structures in data
    • IEEE press New York
    • Bezdek JC, Pal SK: Fuzzy models for pattern recognition method that search for structures in data. IEEE press New York 1992.
    • (1992)
    • Bezdek, J.C.1    Pal, S.K.2
  • 4
  • 5
  • 6
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit S, Fridlyand J, Speed Tp: Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc 2002, 97:77-87.
    • (2002) J. Am. Stat. Assoc. , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, Tp.3
  • 7
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cancer tissue samples using microarray expression data
    • Furey TS, Cristianini N, Duffy N, Bednarski DW, Schummer M, Haussler D: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 2000, 16:906-914.
    • (2000) Bioinformatics , vol.16 , pp. 906-914
    • Furey, T.S.1    Cristianini, N.2    Duffy, N.3    Bednarski, D.W.4    Schummer, M.5    Haussler, D.6
  • 8
    • 0037057374 scopus 로고    scopus 로고
    • Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering
    • Gasch AP, Eisen MB: Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering. Genome Biol 2002, 3:11.
    • (2002) Genome Biol. , vol.3 , pp. 11
    • Gasch, A.P.1    Eisen, M.B.2
  • 11
    • 0003410791 scopus 로고    scopus 로고
    • Self-organizing Maps
    • Berlin Springer
    • Kohonen T: Self-organizing maps. Berlin Springer 1997.
    • (1997)
    • Kohonen, T.1
  • 13
    • 0038781869 scopus 로고    scopus 로고
    • Predicting gene ontology biological process from temporal gene expression patterns
    • Lægreid A, Hvidsten TR, Midelfart H, Komorowski J: Predicting gene ontology biological process from temporal gene expression patterns. Genome Rese 2003, 13:965-979.
    • (2003) Genome Rese. , vol.13 , pp. 965-979
    • Lægreid, A.1    Hvidsten, T.R.2    Midelfart, H.3    Komorowski, J.4
  • 14
    • 0036166439 scopus 로고    scopus 로고
    • Tumor classification by partial least squares using microarray gene expression data
    • Nguyen DV, Rocke DM: Tumor classification by partial least squares using microarray gene expression data. Bioinformatics 2002, 18:39-50.
    • (2002) Bioinformatics , vol.18 , pp. 39-50
    • Nguyen, D.V.1    Rocke, D.M.2
  • 20
    • 38049168357 scopus 로고    scopus 로고
    • SOM-Based data visualization methods
    • Vesanto J: SOM-Based data visualization methods. Intelligent Data Analysis 1999, 3(2):111-126.
    • (1999) Intelligent Data Analysis , vol.3 , Issue.2 , pp. 111-126
    • Vesanto, J.1
  • 21
    • 2942511784 scopus 로고    scopus 로고
    • Clustering of the SOM easily reveals distinct gene expression patterns: Results of a reanalysis of lymphoma study
    • Wang JB, Delabie J, Aasheim HC, Smeland E, Myklebost O: Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study. BMC Bioinformatics 2002, 3:36.
    • (2002) BMC Bioinformatics , vol.3 , pp. 36
    • Wang, J.B.1    Delabie, J.2    Aasheim, H.C.3    Smeland, E.4    Myklebost, O.5
  • 22
    • 67549089569 scopus 로고    scopus 로고
    • Supplementary information for "Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data"
    • Wang JB, Bø TH, Jonassen I, Myklebost O, Hovig E: Supplementary information for "Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data". 2003 [http://www.uio.no/~junbaiw/ mfuzzy/index.html].
    • (2003)
    • Wang, J.B.1    Bø, T.H.2    Jonassen, I.3    Myklebost, O.4    Hovig, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.