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Volumn 7 VOLS, Issue , 2005, Pages 894-897

Gene expression data for DLBCL cancer survival prediction with a combination of machine learning technologies

Author keywords

Cancer survival prediction; Gene expression data; Particle swarm optimization; Probabilistic neural networks

Indexed keywords

DATA REDUCTION; LEARNING SYSTEMS; NEURAL NETWORKS; ONCOLOGY; OPTIMIZATION; PATIENT TREATMENT; PROBABILISTIC LOGICS;

EID: 33846920116     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (16)
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    • R. Xu, and D. Wunsch, "Probabilistic neural networks for multi-class tissue classification with gene expression data," Proceedings of International Joint Conference on Neural Networks 03, vol. 3, pp. 1696-1701, 2003.
    • (2003) Proceedings of International Joint Conference on Neural Networks 03 , vol.3 , pp. 1696-1701
    • Xu, R.1    Wunsch, D.2
  • 7
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    • Gene expression profiling predicts clinical outcome of prostate cancer
    • G. Glinsky, A. Glinskii, A. Stephenson, R. Hoffman, and W. Gerald, "Gene expression profiling predicts clinical outcome of prostate cancer," J. Clin. Invest, vol. 113, pp. 913-923, 2004.
    • (2004) J. Clin. Invest , vol.113 , pp. 913-923
    • Glinsky, G.1    Glinskii, A.2    Stephenson, A.3    Hoffman, R.4    Gerald, W.5
  • 8
    • 19344375744 scopus 로고    scopus 로고
    • Semi-supervised methods to predict patient survival from gene expression data
    • E. Bair and R. Tibshirani, "Semi-supervised methods to predict patient survival from gene expression data," PLoS Biology, vol. 2, no. 4, pp. 511-522, 2004.
    • (2004) PLoS Biology , vol.2 , Issue.4 , pp. 511-522
    • Bair, E.1    Tibshirani, R.2
  • 11
    • 12344271032 scopus 로고    scopus 로고
    • Dimension reduction methods for microarrays with application to censored survival data
    • L. Li and H. Li, "Dimension reduction methods for microarrays with application to censored survival data," Bioinformatics, vol. 18, pp. 3406-3412, 2004.
    • (2004) Bioinformatics , vol.18 , pp. 3406-3412
    • Li, L.1    Li, H.2
  • 14
    • 0025206332 scopus 로고
    • Probabilistic Neural Networks
    • D. Specht, "Probabilistic Neural Networks," Neural Networks, vol. 3, pp. 109-118, 1990.
    • (1990) Neural Networks , vol.3 , pp. 109-118
    • Specht, D.1
  • 16
    • 13444282534 scopus 로고    scopus 로고
    • Outcome signature genes in breast cancer: Is there a unique set?
    • L. Ein-Dor, I. Kela, G. Getz, D. Givol, and E. Domany, "Outcome signature genes in breast cancer: is there a unique set?," Bioinformatics, vol. 21, pp. 171-178, 2005.
    • (2005) Bioinformatics , vol.21 , pp. 171-178
    • Ein-Dor, L.1    Kela, I.2    Getz, G.3    Givol, D.4    Domany, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.