Identification and assessment of gene signatures in human breast cancer

Identification and assessment of gene signatures in human breast cancer

This thesis addresses the use of machine learning techniques to develop clinical diagnostic tools for breast cancer using molecular data. These tools are designed to assist physicians in their evaluation of the clinical outcome of breast cancer (referred to as prognosis).<p>The traditional app...

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Bibliographic Details
Main Author: Haibe-Kains, Benjamin
Other Authors: Bontempi, Gianluca
Format: Doctoral Thesis
Language:fr
Published: Universite Libre de Bruxelles 2009
Subjects:
Informatique générale
Sciences exactes et naturelles
Breast > Cancer > Data processing
Breast > Cancer > Genetic aspects > Data processing
Breast > Cancer > Prognosis > Data processing
DNA microarrays
Gene expression > Data processing
Sein > Cancer > Informatique
Sein > Cancer > Aspect génétique > Informatique
Sein > Cancer > Pronostic > Informatique
Puces à ADN
Expression génique > Informatique
apprentissage automatique
machine learning
Online Access:http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210348

Internet

http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210348

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