Downsizing multigenic predictors of the response to preoperative chemotherapy in breast cancer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5178 LNAI, Issue PART 2, 2008, Pages 157-164

  Natowicz, René ^a   Incitti, Roberto ^b   Rouzier, Roman ^c   Çela, Arben ^a   Braga, Antõnio ^d   Horta, Euler ^d   Rodrigues, Thiago ^e   Costa, Marcelo ^d  

^a UNIVERSITÉ PARIS EST   (France)

^b INSERM U955   (France)

^c HÔPITAL TENON   (France)

^d FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^e FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMOTHERAPY; DISCRIMINANT ANALYSIS; DISEASES; FORECASTING; KNOWLEDGE BASED SYSTEMS; SUPPORT VECTOR MACHINES;

BIOLOGICAL MECHANISMS; BREAST CANCER; CLINICAL ROUTINE; ITS APPLICATIONS; LINEAR CLASSIFIERS; LINEAR DISCRIMINANT ANALYSIS; TRAINING AND TESTING; TRAINING DATASET;

PROBES;

EID: 57749202864     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85565-1_20     Document Type: Conference Paper

References (4)

1. Knudsen, S.: Cancer Diagnostics with DNA Microarrays. C.H.I.P.S edn. (2006)
2. Hess, K., Anderson, K., Symmans, W., et al.: Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. Journal of Clinical Oncology 24(26), 4236-4244 (2006)
3. Natowicz, R., Incitti, R., Guimaraes Horta, E., et al.: Prediction of the outcome of preoperative chemotherapy in breast cancer by DNA probes that convey information on both complete and non complete responses. BMC Bioinformatics 9(149) (March 2008)
4. Natowicz, R., Braga, A., Incitti, R., et al: A new method of dna probes selection and its use with multi-objective neural networks for predicting the outcome of breast cancer preoperative chemotherapy. In: European symposium on artificial neural networks, ESANN 2008 (May 2008)