메뉴 건너뛰기




Volumn , Issue , 2008, Pages 763-766

Classification and identification of differential gene expression for microarray data: Improvement of the random forest method

Author keywords

Classification; Gene selection; Microarray data; Random forest; Recursive random forest

Indexed keywords

BIOACTIVITY; BIOCOMMUNICATIONS; BIOINFORMATICS; BIOMEDICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; DIAGNOSIS; GENE EXPRESSION; GENES; INFORMATION SCIENCE; RECURSIVE FUNCTIONS; STATISTICAL METHODS;

EID: 50949109051     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2008.186     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 1
    • 0036902193 scopus 로고    scopus 로고
    • Gene expression studies using microarrays: Principles, problems, and prospects
    • D. Murphy, "Gene expression studies using microarrays: principles, problems, and prospects," Adv. Physiol. Educ, vol. 26, pp. 256-270, 2002.
    • (2002) Adv. Physiol. Educ , vol.26 , pp. 256-270
    • Murphy, D.1
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • L .Breiman, Random forests, Mach. Learn, 45, pp. 5-32, 2001.
    • L .Breiman, "Random forests," Mach. Learn, vol. 45, pp. 5-32, 2001.
  • 3
    • 12744259874 scopus 로고    scopus 로고
    • A. Bureau, J. Dupuis, K. Falls, K.L. Lunetta, B. Hayward, T.P. Keith, P.V. Eerdewegh, Identifying SNPs Predictive of Phenotype Using Random Forests, Genet.. Epidemiol, 2005; 28:171-182.
    • A. Bureau, J. Dupuis, K. Falls, K.L. Lunetta, B. Hayward, T.P. Keith, P.V. Eerdewegh, "Identifying SNPs Predictive of Phenotype Using Random Forests," Genet.. Epidemiol, 2005; 28:171-182.
  • 5
    • 33747891439 scopus 로고    scopus 로고
    • Random Forests for Microarrays
    • A. Cutler, J.R. Stevens, "Random Forests for Microarrays," Methods Enzymol, vol. 411, pp. 422-432, 2002.
    • (2002) Methods Enzymol , vol.411 , pp. 422-432
    • Cutler, A.1    Stevens, J.R.2
  • 6
    • 33750062866 scopus 로고    scopus 로고
    • Translating microarray data for diagnostic testing in childhood leukaemia
    • K. Hoffmann, M.J. Firth, A.H. Beesley, N.H. Klerk, U.R. Kees, "Translating microarray data for diagnostic testing in childhood leukaemia," BMC Cancer, vol. 6: 229, 2006.
    • (2006) BMC Cancer , vol.6 , pp. 229
    • Hoffmann, K.1    Firth, M.J.2    Beesley, A.H.3    Klerk, N.H.4    Kees, U.R.5
  • 7
    • 13244289883 scopus 로고    scopus 로고
    • Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes
    • H.Y. Jiang, Y.P. Deng, H.S. Chen, Lin. Tao, Q.Y. Sha, J. Chen, C.J. Tsai, S.L. Zhang, "Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes," BMC Bioinformatics,vol. 5: 81, 2004.
    • (2004) BMC Bioinformatics , vol.5 , pp. 81
    • Jiang, H.Y.1    Deng, Y.P.2    Chen, H.S.3    Lin4    Tao5    Sha, Q.Y.6    Chen, J.7    Tsai, C.J.8    Zhang, S.L.9
  • 8
    • 30644464444 scopus 로고    scopus 로고
    • Gene selection and classification of microarray data using random forest
    • R. Díaz, S. Alvarez, "Gene selection and classification of microarray data using random forest," BMC Bioinformatics, vol. 7:3, 2006.
    • (2006) BMC Bioinformatics , vol.7 , pp. 3
    • Díaz, R.1    Alvarez, S.2
  • 9
    • 33750338211 scopus 로고    scopus 로고
    • Feature selection using Haar wavelet power spectrum
    • P. Subramani, R. Sahu, S. Verma, "Feature selection using Haar wavelet power spectrum," BMC Bioinformatics, vol. 7:432, 2006.
    • (2006) BMC Bioinformatics , vol.7 , pp. 432
    • Subramani, P.1    Sahu, R.2    Verma, S.3
  • 10
    • 12444320350 scopus 로고    scopus 로고
    • Y. Wang, I.V.Tetko, M.A. Hall, E. Frank, A. Facius, K.F.X . Mayer, H.W. Mewes, Gene selection from microarray data for cancer classification - a machine learning approach, Comput. Biol. Chem, 29, pp. 37-46, 2005.
    • Y. Wang, I.V.Tetko, M.A. Hall, E. Frank, A. Facius, K.F.X . Mayer, H.W. Mewes, "Gene selection from microarray data for cancer classification - a machine learning approach," Comput. Biol. Chem, vol. 29, pp. 37-46, 2005.
  • 12
    • 33749030973 scopus 로고    scopus 로고
    • Identifying genes that contribute most to good classification in microarrays
    • S.G. Baker, B.S. Kramer, "Identifying genes that contribute most to good classification in microarrays," BMC Bioinformatics, vol. 7:407, 2006.
    • (2006) BMC Bioinformatics , vol.7 , pp. 407
    • Baker, S.G.1    Kramer, B.S.2
  • 13
    • 0037025618 scopus 로고    scopus 로고
    • P. Broberg, Ranking genes with respect to differential expression, Genome Biol, 3(9): preprint0007.1-0007.23, 2002.
    • P. Broberg, "Ranking genes with respect to differential expression," Genome Biol, 3(9): preprint0007.1-0007.23, 2002.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.