메뉴 건너뛰기




Volumn 15, Issue 6, 2011, Pages 1137-1144

Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL INFORMATION; BREAST CANCER; DATA SETS; EXPRESSION LEVELS; GEOMETRIC INFORMATION; LOW DENSITY; MACHINE-LEARNING; RESEARCH EFFORTS; SEMI-SUPERVISED;

EID: 79956194860     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-010-0589-8     Document Type: Article
Times cited : (3)

References (20)
  • 2
    • 0003251227 scopus 로고
    • Pattern recognition with fuzzy objective function algorithms
    • Springer, Berlin
    • Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. In: Advanced applications in pattern recognition. Springer, Berlin.
    • (1981) Advanced applications in pattern recognition
    • Bezdek, J.C.1
  • 5
    • 79956210830 scopus 로고    scopus 로고
    • Modelo semi-supervisionado aplicado à previsão da eficiência da Quimioterapia Neoadjuvante no tratamento de Câncer de Mama
    • Universidade Federal de Minas Gerais
    • Coelho FGF (2009) Modelo semi-supervisionado aplicado à previsão da eficiência da Quimioterapia Neoadjuvante no tratamento de Câncer de Mama. Dissertação de mestrado, Universidade Federal de Minas Gerais. http://www. cpdee. ufmg. br/documentos/Defesas.
    • (2009) Dissertação de mestrado
    • Coelho, F.G.F.1
  • 6
    • 0035028333 scopus 로고    scopus 로고
    • Applications of microarray technology in breast cancer research
    • Cooper C (2001) Applications of microarray technology in breast cancer research. Breast Cancer Res 3: 158-175.
    • (2001) Breast Cancer Res , vol.3 , pp. 158-175
    • Cooper, C.1
  • 8
    • 33847359184 scopus 로고    scopus 로고
    • Improving generalization of mlps with sliding mode control and the levenberg-marquardt algorithm
    • Costa MA, Braga AB, Menezes BR (2007) Improving generalization of mlps with sliding mode control and the Levenberg-Marquardt algorithm. Neurocomput 70: 1342-1347.
    • (2007) Neurocomput , vol.70 , pp. 1342-1347
    • Costa, M.A.1    Braga, A.B.2    Menezes, B.R.3
  • 13
    • 79956194785 scopus 로고    scopus 로고
    • Previsores para a Eficiência da Quimioterapia Neoadjuvante no Câncer de Mama
    • Horta EG (2008) Previsores para a Eficiência da Quimioterapia Neoadjuvante no Câncer de Mama. Dissertação de mestrado, Universidade Federal de Minas Gerais. http://www. cpdee. ufmg. br/documentos/Defesas.
    • (2008) Dissertação de mestrado, Universidade Federal de Minas Gerais
    • Horta, E.G.1
  • 15
    • 13444249852 scopus 로고    scopus 로고
    • Prediction of cancer outcome with microarrays: a multiple random validation strategy
    • Michiels S, Koscielny S, Hill C (2005) Prediction of cancer outcome with microarrays: A multiple random validation strategy. Lancet 365: 488-492.
    • (2005) Lancet , vol.365 , pp. 488-492
    • Michiels, S.1    Koscielny, S.2    Hill, C.3
  • 18
    • 42149139055 scopus 로고    scopus 로고
    • Prediction of the outcome of preoperative chemotherapy in breast cancer by dna probes that convey information on both complete and non complete responses
    • Natowicz R, Incitti R, Horta EG, Charles B, Guinot P, Yan K, Coutant C, Andre F, Pusztai L, Rouzier R (2008c) Prediction of the outcome of preoperative chemotherapy in breast cancer by dna probes that convey information on both complete and non complete responses. BMC Bioinform 9: 149.
    • (2008) BMC Bioinform , vol.9 , pp. 149
    • Natowicz, R.1    Incitti, R.2    Horta, E.G.3    Charles, B.4    Guinot, P.5    Yan, K.6    Coutant, C.7    Andre, F.8    Pusztai, L.9    Rouzier, R.10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.