作者: Jorge Munoz-Minjares , Yuriy S. Shmaliy , Ro. Olivera-Reyna , Re. Olivera-Reyna , O. Vite-Chavez
DOI: 10.1109/ROPEC.2017.8261604
关键词: Skew 、 Histogram 、 Laplace distribution 、 Jitter 、 Algorithm 、 Noise 、 Mathematics 、 Noise measurement 、 SCNA 、 Signal-to-noise ratio
摘要: Jitter is inherent to the breakpoints of measured genome somatic copy number alterations (SCNAs). Therefore, an analysis jitter required reduce errors in SCNA estimation. The measurements are accompanied with intensive noise that may cause and ambiguities breakpoint detection low signal-to-noise ratios (SNRs). We show asymmetric exponential power distribution (AEPD) provides much better approximation than earlier proposed discrete skew Laplace distribution. Furthermore, we confirm (AEP) its suitable for computing confidence upper lower boundary limits order guarantee existence genomic changes a probability. test some neuroblastoma SCNAs by bound masks several probabilities.