35 pagesInternational audienceIn this chapter, we focus on statistical questions raised by the identification of copy number alterations in tumor samples using genotyping microarrays, also known as Single Nucleotide Polymorphism (SNP) arrays. We define the copy number states formally, and show how they are assessed by SNP arrays. We identify and discuss general and cancer-specific challenges for SNP array data preprocessing, and how they are addressed by existing methods. We review existing statistical methods for the detection of copy number changes along the genome. We describe the influence of two biological parameters -the proportion of normal cells in the sample and the ploidy of the tumor- on observed data. Finally, we discuss existin...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...
In this work, we explore the use of representations in conjunction with DNA microarray technology to...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...
The application of genome-wide approaches to the molecular characterization of cancer was investigat...
Abstract Background Genomic instability in cancer leads to abnormal genome copy number alterations (...
We propose a statistical framework, named genoCN, to simultaneously dissect copy number states and g...
Abstract Background Single nucleotide polymorphisms (SNPs) are the most common genetic variations in...
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the hum...
BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the huma...
Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in c...
Background\ud Genomic instability in cancer leads to abnormal genome copy number alterations (CNA) a...
By accurately describing cancer genomes, we may link genomic mutations to phenotypic effects and eve...
By accurately describing cancer genomes, we may link genomic mutations to phenotypic effects and eve...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...
A new procedure to align single nucleotide polymorphism (SNP) microarray signals for copy number ana...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...
In this work, we explore the use of representations in conjunction with DNA microarray technology to...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...
The application of genome-wide approaches to the molecular characterization of cancer was investigat...
Abstract Background Genomic instability in cancer leads to abnormal genome copy number alterations (...
We propose a statistical framework, named genoCN, to simultaneously dissect copy number states and g...
Abstract Background Single nucleotide polymorphisms (SNPs) are the most common genetic variations in...
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the hum...
BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the huma...
Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in c...
Background\ud Genomic instability in cancer leads to abnormal genome copy number alterations (CNA) a...
By accurately describing cancer genomes, we may link genomic mutations to phenotypic effects and eve...
By accurately describing cancer genomes, we may link genomic mutations to phenotypic effects and eve...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...
A new procedure to align single nucleotide polymorphism (SNP) microarray signals for copy number ana...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...
In this work, we explore the use of representations in conjunction with DNA microarray technology to...
We describe a statistical method for the characterization of genomic aberrations in single nucleotid...