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- Title
Smoothing waves in array CGH tumor profiles.
- Authors
Mark A. van de Wiel; Rebecca Brosens; Paul H. C. Eilers; Candy Kumps; Gerrit A. Meijer; Björn Menten; Erik Sistermans; Frank Speleman; Marieke E. Timmerman; Bauke Ylstra
- Abstract
Motivation: Many high-resolution array comparative genomic hybridization tumor profiles contain a wave bias, which makes accurate detection of breakpoints in such profiles more difficult. Results: An efficient and highly effective algorithm that largely removes the wave bias from tumor profiles by regressing the tumor profile data on data of profiles from the clinical genetics practice. Results are illustrated on two independent datasets. The algorithm is shown to be robust against the presence of true copy number aberrations. Moreover, the smoothed profiles are able to recapitulate the aberration location and signal for simulated tumor profiles. Availability: Easy-to-use R scripts, user instructions and data are available from http://www.few.vu.nl/~mavdwiel/nowaves.html. Contact: mark.vdwiel@vumc.nl Supplementary information: Supplementary information are available at Bioinformatics online.
- Subjects
NUCLEIC acid hybridization; TUMORS; ALGORITHMS; DATABASES; BIOINFORMATICS; COMPUTERS in medicine; MEDICAL genetics
- Publication
Bioinformatics, 2009, Vol 25, Issue 9, p1099
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btp132