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Development of statistical methods for DNA copy number analysis in cancerology.

Abstract : Genomic data from DNA microarray or sequencing technologies have two major characteristics: their high dimension (number of markers larger than the number of observations), and their strong structuration (dependence between markers). Taking into account this structuration, it is a challenging issue for the development of efficient methods. This work is focused on the data with a strong spatial structuration, namely DNA copy number data in tumor samples. We developed statistical models, software implementations and we applied these developments to real data. We explored in particular segmentation models and matrix factorization methods. All the software Implementations of these methods are freely available as R packages.
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Submitted on : Monday, January 16, 2017 - 10:16:07 AM
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  • HAL Id : tel-01436012, version 1


Morgane Pierre-Jean. Development of statistical methods for DNA copy number analysis in cancerology.. Statistics [math.ST]. Université Paris Saclay, 2016. English. ⟨NNT : 2016SACLE056⟩. ⟨tel-01436012⟩



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