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Massachusetts Institute of Technology

Hidden Markov Model inference copy number change in array-CGH data

Abstract

dc:description.abstract

Cancer development and progression typically features genomic instability frequently resulting in genomic changes involving DNA copy number gains or losses. Identifying the genomic location of these regional alterations provides important opportunities for the discovery of potential novel oncogenes and tumor suppressors. Recently, array based competitive genomic hybridization (array-CGH) has become available as a powerful approach for genome-wide detection of DNA copy number changes. Array-CGH assesses DNA copy number in tumor samples through competitive hybridization on microarrays containing probes for thousands of genes. The datasets generated are complex and require statistical methods to accurately define discrete and uniform copy number from the data and to identify transitions between genomic regions with altered copy number. Several approaches based on different statistical frameworks have been developed. However, a fundamental informatic issue in array-CGH analysis remains unsolved by these methods. In particular, sample-specific data compression, a result of tumor cells being commonly admixed with normal cells in many tumor types, must be accounted for in each sample analyzed. Additionally, in order to accurately assess deviations from normal copy number, the copy number readout must be shifted to faithfully represent the baseline copy number in each tumor sample. Failure to appropriately address these issues reduces the accuracy of the data in hard-threshold based high-level analysis.

Degree

thesis:*
Department dc:contributor.department
Harvard University--MIT Division of Health Sciences and Technology.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Yunyu
Advisor dc:contributor.advisor
  • Lynda Chin, Cheng Li and Cameron W. Brennan.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/33086
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/33086

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Zhang, Yunyu. Hidden Markov Model inference copy number change in array-CGH data. Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33086