A Statistical Change Point Model Approach for the Detection of DNA Copy Number Variations in Array CGH Data

@article{Chen2009ASC,
  title={A Statistical Change Point Model Approach for the Detection of DNA Copy Number Variations in Array CGH Data},
  author={Jie Chen and Yu-Ping Wang},
  journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
  year={2009},
  volume={6},
  pages={529-541}
}
Array comparative genomic hybridization (aCGH) provides a high-resolution and high-throughput technique for screening of copy number variations (CNVs) within the entire genome. This technique, compared to the conventional CGH, significantly improves the identification of chromosomal abnormalities. However, due to the random noise inherited in the imaging and hybridization process, identifying statistically significant DNA copy number changes in aCGH data is challenging. We propose a novel… CONTINUE READING
Highly Cited
This paper has 33 citations. REVIEW CITATIONS