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Dataset Information

Classification of human cancers based on DNA copy number amplification modeling.


ABSTRACT:

Background

DNA amplifications alter gene dosage in cancer genomes by multiplying the gene copy number. Amplifications are quintessential in a considerable number of advanced cancers of various anatomical locations. The aims of this study were to classify human cancers based on their amplification patterns, explore the biological and clinical fundamentals behind their amplification-pattern based classification, and understand the characteristics in human genomic architecture that associate with amplification mechanisms.

Methods

We applied a machine learning approach to model DNA copy number amplifications using a data set of binary amplification records at chromosome sub-band resolution from 4400 cases that represent 82 cancer types. Amplification data was fused with backgrou

SUBMITTER: Myllykangas S 

PROVIDER: S-EPMC2397431 | biostudies-literature | 2008 May

REPOSITORIES: biostudies-literature