메뉴 건너뛰기




Volumn 44, Issue SUPPL. 1, 2011, Pages

Mining microarray data to predict the histological grade of a breast cancer

Author keywords

Breast cancer; Microarrays analysis; Sequential patterns; Translational bioinformatics

Indexed keywords

BREAST CANCER; BREAST CANCER TUMORS; CLASS PREDICTION; GENE SEQUENCES; MICROARRAY DATA; MOLECULAR BIOMARKER; PREDICTIVE TOOLS; RECALL AND PRECISION; SEQUENTIAL PATTERNS;

EID: 83755190246     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.03.002     Document Type: Article
Times cited : (14)

References (26)
  • 1
    • 0037335024 scopus 로고    scopus 로고
    • Experimental design of DNA microarray experiments
    • Simon R.M., Dobbin K. Experimental design of DNA microarray experiments. Biotechniques 2003, 34:16-21.
    • (2003) Biotechniques , vol.34 , pp. 16-21
    • Simon, R.M.1    Dobbin, K.2
  • 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., et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Natl Acad Sci USA 1999, 96:6745-6750.
    • (1999) Natl Acad Sci USA , vol.96 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2
  • 3
    • 0037142053 scopus 로고    scopus 로고
    • The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell Lymphoma
    • Rosenwald A., Wright G., et al. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell Lymphoma. N Engl J Med 2002, 346:1937-1947.
    • (2002) N Engl J Med , vol.346 , pp. 1937-1947
    • Rosenwald, A.1    Wright, G.2
  • 4
    • 0035076190 scopus 로고    scopus 로고
    • Small sample issues for microarray-based classification
    • Dougherty E.R. Small sample issues for microarray-based classification. Comp Funct Genomics 2001, 2:28-34.
    • (2001) Comp Funct Genomics , vol.2 , pp. 28-34
    • Dougherty, E.R.1
  • 5
    • 0042838307 scopus 로고    scopus 로고
    • Breast cancer classification and prognosis based on gene expression profiles from a population-based study
    • Sotiriou C., Neo S.Y., et al. Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci 2003, 100(18):10393-10398.
    • (2003) Proc Natl Acad Sci , vol.100 , Issue.18 , pp. 10393-10398
    • Sotiriou, C.1    Neo, S.Y.2
  • 6
    • 0037137519 scopus 로고    scopus 로고
    • A gene-expression signature as a predictor of survival in breast cancer
    • Van de Vijver M.J., He Y.D., et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 2002, 347:1999-2009.
    • (2002) N Engl J Med , vol.347 , pp. 1999-2009
    • Van de Vijver, M.J.1    He, Y.D.2
  • 7
    • 70350220878 scopus 로고    scopus 로고
    • Mining discriminant sequential patterns for aging brain
    • Paola S., Bringay S., et al. Mining discriminant sequential patterns for aging brain. Int Conf AIME 2009, 365-369.
    • (2009) Int Conf AIME , pp. 365-369
    • Paola, S.1    Bringay, S.2
  • 8
    • 84855619327 scopus 로고    scopus 로고
    • Machine learning for survival analysis: a case study on recurrence of prostate cancer
    • Zupan B., Demsar J., et al. Machine learning for survival analysis: a case study on recurrence of prostate cancer. Int Conf AIMDM 1999, 346-355.
    • (1999) Int Conf AIMDM , pp. 346-355
    • Zupan, B.1    Demsar, J.2
  • 9
    • 0036376993 scopus 로고    scopus 로고
    • Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments
    • Dudoit S., Yang Y.H., et al. Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Stat Sin 2002, 2:111-139.
    • (2002) Stat Sin , vol.2 , pp. 111-139
    • Dudoit, S.1    Yang, Y.H.2
  • 10
    • 0035942271 scopus 로고    scopus 로고
    • Significance analysis of microarrays applied to the ionizing radiation response
    • Tusher V.G., Tibshirani R., et al. Significance analysis of microarrays applied to the ionizing radiation response. Natl Acad Sci USA 2001, 98:5116-5121.
    • (2001) Natl Acad Sci USA , vol.98 , pp. 5116-5121
    • Tusher, V.G.1    Tibshirani, R.2
  • 11
    • 0034948896 scopus 로고    scopus 로고
    • A Bayesian framework for the analysis of microarray expression data: regularized t-test and statistical inferences of gene changes
    • Baldi P., Long A.D. A Bayesian framework for the analysis of microarray expression data: regularized t-test and statistical inferences of gene changes. Bioinformatics 2001, 17:509-519.
    • (2001) Bioinformatics , vol.17 , pp. 509-519
    • Baldi, P.1    Long, A.D.2
  • 12
    • 34547903866 scopus 로고    scopus 로고
    • Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA
    • Nueda M.J., Conesa A., et al. Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA. Bioinformatics 2007, 23:1792-1800.
    • (2007) Bioinformatics , vol.23 , pp. 1792-1800
    • Nueda, M.J.1    Conesa, A.2
  • 13
    • 0036139278 scopus 로고    scopus 로고
    • Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method
    • Li L., Weinberg C.R., et al. Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method. Bioinformatics 2001, 17:1131-1142.
    • (2001) Bioinformatics , vol.17 , pp. 1131-1142
    • Li, L.1    Weinberg, C.R.2
  • 14
    • 22144461265 scopus 로고    scopus 로고
    • Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset
    • Choe S.E., Boutros M., et al. Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset. Genome Biol 2005, 6:R16.
    • (2005) Genome Biol , vol.6
    • Choe, S.E.1    Boutros, M.2
  • 15
    • 0035845511 scopus 로고    scopus 로고
    • Gene expression patterns breast carcinomas distinguish tumor subclasses with clinical implications
    • Sorlie C., Perou M., et al. Gene expression patterns breast carcinomas distinguish tumor subclasses with clinical implications. Natl Acad Sci USA 2001, 98(19).
    • (2001) Natl Acad Sci USA , vol.98 , Issue.19
    • Sorlie, C.1    Perou, M.2
  • 16
    • 33646181069 scopus 로고    scopus 로고
    • A novel ensemble machine learning for robust microarray data classification
    • Peng Y.H. A novel ensemble machine learning for robust microarray data classification. Comput Biol Med 2006, 36:553-573.
    • (2006) Comput Biol Med , vol.36 , pp. 553-573
    • Peng, Y.H.1
  • 17
    • 0034598746 scopus 로고    scopus 로고
    • Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling
    • Alizadeh A.A., Eisen M.B., et al. Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling. Nature 2000, 403(6769):503-511.
    • (2000) Nature , vol.403 , Issue.6769 , pp. 503-511
    • Alizadeh, A.A.1    Eisen, M.B.2
  • 18
    • 0034602774 scopus 로고    scopus 로고
    • Knowledge-based analysis of microarray gene expression data by using support vector machines
    • Brown M.P., Grundy W.N., et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. Natl Acad Sci USA 2000, 97(1):262-267.
    • (2000) Natl Acad Sci USA , vol.97 , Issue.1 , pp. 262-267
    • Brown, M.P.1    Grundy, W.N.2
  • 19
    • 34248550574 scopus 로고    scopus 로고
    • Two-stage classification methods for microarray data
    • Wong T.T., Hsu C.H. Two-stage classification methods for microarray data. Expert Syst Appl 2008, 34:375-383.
    • (2008) Expert Syst Appl , vol.34 , pp. 375-383
    • Wong, T.T.1    Hsu, C.H.2
  • 20
    • 33846223871 scopus 로고    scopus 로고
    • Chips to bedside: incorporation of microarray data into clinical practice
    • Pusztai L. Chips to bedside: incorporation of microarray data into clinical practice. Clin Cancer Res 2006, 12:7209-7214.
    • (2006) Clin Cancer Res , vol.12 , pp. 7209-7214
    • Pusztai, L.1
  • 21
    • 13444249852 scopus 로고    scopus 로고
    • Prediction of cancer outcome with microarrays: a multiple random validation strategy
    • Michiels S., Koscielny S., et al. Prediction of cancer outcome with microarrays: a multiple random validation strategy. Lancet 2005, 365(9458):488-492.
    • (2005) Lancet , vol.365 , Issue.9458 , pp. 488-492
    • Michiels, S.1    Koscielny, S.2
  • 22
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • Agrawal R., Srikant R. Fast algorithms for mining association rules. Int Conf VLDB 1994, 487-499.
    • (1994) Int Conf VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 23
    • 0035016443 scopus 로고    scopus 로고
    • PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth
    • Pei J., Han J., et al. PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth. Int Conf Data Eng 2001, 215-224.
    • (2001) Int Conf Data Eng , pp. 215-224
    • Pei, J.1    Han, J.2
  • 25
    • 0026072872 scopus 로고
    • The value of histological grade in breast cancer: experience from a large study with long-term follow-up
    • Elston C.W., Ellis I.O. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 1991, 19:403-410.
    • (1991) Histopathology , vol.19 , pp. 403-410
    • Elston, C.W.1    Ellis, I.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.