Use of Machine Learning in Bioinformatics to Veille Technologique en Informatique

Veille Technologique en Informatique
Use of Machine Learning in Bioinformatics to
Identify Molecular Signatures in Breast Cancer
Benjamin Haibe-Kains
Universit ´
e Libre de Bruxelles Institut Jules Bordet
Table of Contents
Breast Cancer
Research Groups
Microarray Unit at IJB
Machine Learning Group at ULB
Microarray Technology
AFFYMETRIX c
°
Bioinformatics
Machine Learning
Softwares
Conclusion
Benjamin Haibe-Kains Veille Technologique – p.1/44
Breast Cancer
Benjamin Haibe-Kains Veille Technologique – p.2/44
Breast Cancer
The cancer is a genetic disease at the level of the
cell.
Several mutations are necessary in the genome of a
normal cell to involve its transformation into
malignant cell.
The cancer can affect different types of organs as
brain, bones, breast, etc.
Benjamin Haibe-Kains Veille Technologique – p.3/44
Breast Cancer(2)
Breast cancer is one of the most common malignant
tumors affecting women.
Breast cancer patients with the same stage of
disease can have markedly different treatment
responses and overall outcome.
Breast cancer classification has been based primarily
on histological criteria. For instance :
invasive/non-invasive tumor
Number of involved lymph-nodes
tumor size
hormone receptor status (ER/PGR)
Benjamin Haibe-Kains Veille Technologique – p.4/44
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Use of Machine Learning in Bioinformatics to Veille Technologique en Informatique

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