Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2008.06a
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- Pages.897-898
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- 2008
Optimization of parameters in segmentation of large-scale spatial data sets
대용량 공간 자료들의 세그먼테이션에서의 모수들의 최적화
- Oh, Mi-Ra (Dept. of Information and Communications, Gwangju Institute of Science and Technology) ;
- Lee, Hyun-Ju (Dept. of Information and Communications, Gwangju Institute of Science and Technology)
- Published : 2008.06.18
Abstract
Array comparative genomic hybridization (aCGH) has been used to detect chromosomal regions of amplifications or deletions, which allows identification of new cancer related genes. As aCGH, a large-scale spatial data, contains significant amount of noises in its raw data, it has been an important research issue to segment genomic DNA regions to detect its true underlying copy number aberrations (CNAs). In this study, we focus on applying a segmentation method to multiple data sets. We compare two different threshold values for analyzing aCGH data with CBS method [1]. The proposed threshold values are p-value or
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