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Algorithms for Calling Gains and Losses in Array CGH Data

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Microarray Analysis of the Physical Genome

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 556))

Abstract

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.

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  1. Cancer Prevention Program, Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

    Pei Wang

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  1. Pei Wang
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    © 2009 Humana Press, a part of Springer Science+Business Media, LLC

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    Wang, P. (2009). Algorithms for Calling Gains and Losses in Array CGH Data. In: Pollack, J. (eds) Microarray Analysis of the Physical Genome. Methods in Molecular Biology™, vol 556. Humana Press. https://doi.org/10.1007/978-1-60327-192-9_8

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    • DOI: https://doi.org/10.1007/978-1-60327-192-9_8

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    • Publisher Name: Humana Press

    • Print ISBN: 978-1-60327-191-2

    • Online ISBN: 978-1-60327-192-9

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