메뉴 건너뛰기




Volumn 47, Issue 1, 2008, Pages 85-96

Active learning for microarray data

Author keywords

Active learning; Classification confidence; Feature selection; Genetic algorithms; Microarray data

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; GENETIC ALGORITHMS; MEDICAL PROBLEMS; MICROARRAYS;

EID: 36248980462     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2007.03.009     Document Type: Article
Times cited : (16)

References (20)
  • 2
    • 0036328380 scopus 로고    scopus 로고
    • Application of microarrays to the analysis of gene expression in cancer
    • Macgregor P., and Squire J. Application of microarrays to the analysis of gene expression in cancer. Clinical Chemistry 48 8 (2002) 1170-1177
    • (2002) Clinical Chemistry , vol.48 , Issue.8 , pp. 1170-1177
    • Macgregor, P.1    Squire, J.2
  • 3
    • 85153947869 scopus 로고
    • Active learning with statistical models
    • Tesauro G., Touretzky D., and Leen T. (Eds), The MIT Press
    • Cohn D.A., Ghahramani Z., and Jordan M.I. Active learning with statistical models. In: Tesauro G., Touretzky D., and Leen T. (Eds). Advances in Neural Information Processing Systems vol. 7 (1995), The MIT Press 705-712. citeseer.ist.psu.edu/cohn96active.html
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 705-712
    • Cohn, D.A.1    Ghahramani, Z.2    Jordan, M.I.3
  • 4
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • MacKay D. Information-based objective functions for active data selection. Neural Computation 4 4 (1992) 590-604. citeseer.ist.psu.edu/47461.html
    • (1992) Neural Computation , vol.4 , Issue.4 , pp. 590-604
    • MacKay, D.1
  • 6
    • 0003007938 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Langley P. (Ed), Morgan Kaufmann Publishers, San Francisco,US, Stanford, US
    • Tong S., and Koller D. Support vector machine active learning with applications to text classification. In: Langley P. (Ed). Proceedings of ICML-00, 17th International Conference on Machine Learning (2000), Morgan Kaufmann Publishers, San Francisco,US, Stanford, US 999-1006. citeseer.ist.psu.edu/article/tong00support.html
    • (2000) Proceedings of ICML-00, 17th International Conference on Machine Learning , pp. 999-1006
    • Tong, S.1    Koller, D.2
  • 7
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Hughes G.F. On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory 14 1 (1968) 55-63
    • (1968) IEEE Transactions on Information Theory , vol.14 , Issue.1 , pp. 55-63
    • Hughes, G.F.1
  • 8
    • 63249112814 scopus 로고
    • Dimensionality and sample size considerations in pattern recognition practice classification pattern recognition and reduction of dimensionality
    • Krishnaiah P., and Kanal L. (Eds), Amsterdam, North-Holland
    • Jain A.K., and Chandrasekaran B. Dimensionality and sample size considerations in pattern recognition practice classification pattern recognition and reduction of dimensionality. In: Krishnaiah P., and Kanal L. (Eds). Handbook of Statistics (1982), Amsterdam, North-Holland 835-856
    • (1982) Handbook of Statistics , pp. 835-856
    • Jain, A.K.1    Chandrasekaran, B.2
  • 13
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf B., Smola A.J., and Muller K. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10 (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.J.2    Muller, K.3
  • 14
    • 10244252786 scopus 로고    scopus 로고
    • Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction
    • Pochet N., Smet F.D.., Suykens J.A., and Moor B. Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction. Bioinformatics 20 17 (2004) 3185-3195
    • (2004) Bioinformatics , vol.20 , Issue.17 , pp. 3185-3195
    • Pochet, N.1    Smet, F.D..2    Suykens, J.A.3    Moor, B.4
  • 16
    • 36249015019 scopus 로고    scopus 로고
    • T.R. Golub, D.K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J.P. Mesirov, H. Coller, M.L. Loh, J.R. Downing, M.A. Caligiuri, C.D. Bloomfield, E. Lander, Molecular classification of cancer: class discovery and class prediction by gene expression monitoring, Science.
  • 17
    • 0036735386 scopus 로고    scopus 로고
    • Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma
    • Gordon G., Jensen R., Hsiao L., Gullans S., Blumenstock J., Ramaswamy S., Richard W., Sugarbaker D., and Bueno R. Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma. Cancer Research (2002) 4963-4967
    • (2002) Cancer Research , pp. 4963-4967
    • Gordon, G.1    Jensen, R.2    Hsiao, L.3    Gullans, S.4    Blumenstock, J.5    Ramaswamy, S.6    Richard, W.7    Sugarbaker, D.8    Bueno, R.9
  • 20
    • 1542473171 scopus 로고    scopus 로고
    • Application of independent component analysis to microarrays
    • Lee S.I., and Batzoglou S. Application of independent component analysis to microarrays. Genome Biology 4 (2003) R76
    • (2003) Genome Biology , vol.4
    • Lee, S.I.1    Batzoglou, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.