Algorithms for calling gains and losses in array CGH data

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations


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.

Original languageEnglish
Title of host publicationMicroarray Analysis of the Physical Genome
Subtitle of host publicationMethods and Protocols
EditorsJonathan Pollack
Number of pages18
StatePublished - 2009
Externally publishedYes

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745


  • CGH
  • calling gains
  • false discovery rate (FDR)
  • local correlation
  • spatial structure


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