DocumentCode
650035
Title
Approximate jitter probability in the breakpoints of genome copy number variations
Author
Munoz-Minjares, Jorge ; Shmaliy, Yuriy S.
Author_Institution
Dept. of Electron. Eng., Univ. de Guanajuato, Salamanca, Mexico
fYear
2013
fDate
Sept. 30 2013-Oct. 4 2013
Firstpage
128
Lastpage
131
Abstract
The jitter probability is derived and analyzed in the breakpoints of the measured genome copy number variations (CNVs). It is supposed that measurements are provided using the high resolution array-comparative genomic hybridization (HR-CGH) microarray. We show that jitter is fundamentally inherent to the measured CNVs and that the jitter probability has the recently derived discrete skew Laplace distribution. No one estimator, even ideal, is able to provide the jitter-free breakpoints detection. The jitter region can be outlined for the required probability via measurements with known noise variances. Some simulation results are supplied.
Keywords
Laplace equations; bioinformatics; genomics; jitter; lab-on-a-chip; noise; statistical distributions; HR-CGH microarray; approximate jitter probability; discrete skew Laplace distribution; genome CNV breakpoint analysis; genome copy number variations; high resolution array-comparative genomic hybridization; jitter-free breakpoint detection; noise variances;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering, Computing Science and Automatic Control (CCE), 2013 10th International Conference on
Conference_Location
Mexico City
Print_ISBN
978-1-4799-1460-9
Type
conf
DOI
10.1109/ICEEE.2013.6676066
Filename
6676066
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