Algorithms for calling gains and losses in array CGH data.
In this chapter, we introduce a few statistical algorithms for calling gains and losses in array-based comparative genomic hybridization (array CGH) data, including CBS, CLAC, CGHseg, and Fused Lasso. We illustrate the performance of the methods through simulated and real data examples. We also provide brief guidance on how to use the corresponding software at the end of this chapter.
Wang
Pei
P
Cancer Prevention Program, Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
D000465:Algorithms; D016000:Cluster Analysis; D055028:Comparative Genomic Hybridization / Q000379:methods*; D019295:Computational Biology; D018628:Gene Dosage; D020869:Gene Expression Profiling; D006801:Humans; D009369:Neoplasms / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software