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Volumn 2005, Issue , 2005, Pages

Diffuse large B-cell lymphoma classification using genetic programming classifier

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DNA; GENETIC ENGINEERING; LEARNING SYSTEMS; MATHEMATICAL PROGRAMMING; PATIENT MONITORING;

EID: 33847193875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cibcb.2005.1594937     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 1
    • 18244409933 scopus 로고    scopus 로고
    • Diffuse large B-cell lymphoma outcome prediction by gene expression profiling and supervised machine learning
    • Jan
    • Margaret A. Shipp et al., "Diffuse large B-cell lymphoma outcome prediction by gene expression profiling and supervised machine learning", Nature Medicine, vol. 8, no. 1, Jan. 2002. pp. 68-74.
    • (2002) Nature Medicine , vol.8 , Issue.1 , pp. 68-74
    • Shipp, M.A.1
  • 2
    • 0034598746 scopus 로고    scopus 로고
    • Distinct type of diffuse large B-cell lymphoma identified by gene expression profiling
    • 3 Feb
    • Ash A. Alizadeh et al., "Distinct type of diffuse large B-cell lymphoma identified by gene expression profiling", Nature, vol. 403, 3 Feb. 2000, pp. 503-511.
    • (2000) Nature , vol.403 , pp. 503-511
    • Alizadeh, A.A.1
  • 3
    • 0142183029 scopus 로고    scopus 로고
    • Making Genome Expression Data Meaningful: Prediction and Discovery of Classes of Cancer Through a Connectionist Learning Approach
    • Francisco Azuaje, "Making Genome Expression Data Meaningful: Prediction and Discovery of Classes of Cancer Through a Connectionist Learning Approach", Proceeding of the IEEE Symposium on Bio-Informatics and Biomedical Engineering (BIBE), 2000, pp. 208-213.
    • (2000) Proceeding of the IEEE Symposium on Bio-Informatics and Biomedical Engineering (BIBE) , pp. 208-213
    • Azuaje, F.1
  • 4
    • 0035096538 scopus 로고    scopus 로고
    • A computational neural approach to support the discovery of gene function and classes of cancer
    • Francisco Azuaje, "A computational neural approach to support the discovery of gene function and classes of cancer", IEEE Transaction on Biomedical Engineering, vol. 48, 2001, pp.332-339.
    • (2001) IEEE Transaction on Biomedical Engineering , vol.48 , pp. 332-339
    • Azuaje, F.1
  • 5
    • 4344570519 scopus 로고    scopus 로고
    • Evolutionary Ensemble Classifier for Lymphoma and Colon Cancer Classification
    • Chanho Park and Sung-Bae Cho, "Evolutionary Ensemble Classifier for Lymphoma and Colon Cancer Classification", The 2003 Congress on Evolutionary Computation, vol.4, 2003, pp.2378-2392.
    • (2003) The 2003 Congress on Evolutionary Computation , vol.4 , pp. 2378-2392
    • Park, C.1    Cho, S.2
  • 7
    • 26944491706 scopus 로고    scopus 로고
    • Lymphoma Cancer Classification Using Genetic Programming with SNR Features
    • Jin-Hyuk Hong and Sung-Bae Cho, "Lymphoma Cancer Classification Using Genetic Programming with SNR Features", Proceeding of Genetic Programming: 7th European Conference, vol. 3003,2004. pp.78 - 88.
    • (2004) Proceeding of Genetic Programming: 7th European Conference , vol.3003 , pp. 78-88
    • Hong, J.1    Cho, S.2
  • 10
    • 0030995524 scopus 로고    scopus 로고
    • The effect of data sampling on the performance evaluation of artificial neural networks in medical diagnosis
    • F. Tourassi and C. Floyd, "The effect of data sampling on the performance evaluation of artificial neural networks in medical diagnosis". Medical Decision Making, 17, 186-192, 1997
    • (1997) Medical Decision Making , vol.17 , pp. 186-192
    • Tourassi, F.1    Floyd, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.