Journal of Computational Biology
Volume 19, Issue 6
Chromosomes, Human, Pair 20--genetics; Chromosomes, Human, Pair 21--genetics; DNA, Neoplasm; Neoplasms--genetics; Polymorphism, Single Nucleotide
The recent genome-wide allele-specific copy number variation data enable us to explore two types of genomic information including chromosomal genotype variations as well as DNA copy number variations. For a cancer study, it is common to collect data for paired normal and tumor samples. Then, two types of paired data can be obtained to study a disease subject. However, there is a lack of methods for a simultaneous analysis of these four sequences of data. In this study, we propose a statistical framework based on the change-point analysis approach. The validity and usefulness of our proposed statistical framework are demonstrated through the simulation studies and applications based on an experimental data set.
Lai, Y. (2012). Change-point analysis of paired allele-specific copy number variation data. Journal of Computational Biology, 19(6), 679-693.