Optimization of signal decomposition matched filtering (SDMF) for improved detection of copy-number variations
C Stamoulis, RA Betensky - IEEE/ACM Transactions on …, 2015 - ieeexplore.ieee.org
We aim to improve the performance of the previously proposed signal decomposition
matched filtering (SDMF) method [26] for the detection of copy-number variations (CNV) in …
matched filtering (SDMF) method [26] for the detection of copy-number variations (CNV) in …
A continuous-index hidden Markov jump process for modeling DNA copy number data
S Stjernqvist, T Rydén - Biostatistics, 2009 - academic.oup.com
The number of copies of DNA in human cells can be measured using array comparative
genomic hybridization (aCGH), which provides intensity ratios of sample to reference DNA at …
genomic hybridization (aCGH), which provides intensity ratios of sample to reference DNA at …
[HTML][HTML] A semiparametric Bayesian model for comparing DNA copy numbers
L Nieto-Barajas, Y Ji… - Brazilian journal of …, 2016 - ncbi.nlm.nih.gov
We propose a two-step method for the analysis of copy number data. We first define the
partitions of genome aberrations and conditional on the partitions we introduce a …
partitions of genome aberrations and conditional on the partitions we introduce a …
[PDF][PDF] A stochastic segmentation model for recurrent copy number alteration analysis
H Xing, Y Cai - Journal of Biometrics & Biostatistics, 2015 - ams.stonybrook.edu
Recurrent DNA copy number alterations (CNAs) are key genetic events in the study of
human genetics and disease. Analysis of recurrent DNA CNA data often involves the …
human genetics and disease. Analysis of recurrent DNA CNA data often involves the …
[PDF][PDF] A general graphical framework for detecting copy number variations
XL Yin, J Li - Proceedings of the eighth annual international …, 2009 - lifesciencessociety.org
Array comparative genomic hybridization (aCGH) allows identification of copy number
alterations across genomes. The key computational challenge in analyzing copy number …
alterations across genomes. The key computational challenge in analyzing copy number …
Stochastic Dynamic Models for Functional Data
B Zhu - 2010 - search.proquest.com
Functional data arise frequently in many fields of biomedical research as sequential
observations over time. The observations are generated by an unknown dynamic …
observations over time. The observations are generated by an unknown dynamic …
Comparative Genomic Hybridization (CGH) in Genotoxicology
A Baumgartner, V Hartleb, JD Taylor - Genotoxicity Assessment: Methods …, 2019 - Springer
In the past two decades, comparative genomic hybridization (CGH) and array CGH have
become indispensable tools in clinical diagnostics and toxicological risk assessment …
become indispensable tools in clinical diagnostics and toxicological risk assessment …
[PDF][PDF] Genomic Signal Processing Methods for Detection of Copy Number Variation from Array CGH Data and Phylogenetic Classification using Protein Sequences
R Anu Sabarish, T Thomas - 2017 - conference.cusat.ac.in
In recent years, the rapid development in the field of DNA sequencing techniques has
necessitated the evolution of new computational methods for processing the genomic data …
necessitated the evolution of new computational methods for processing the genomic data …
Dissecting the genetic architecture of cardiac disorders through the use of next generation sequencing
C Murphy - 2016 - discovery.ucl.ac.uk
The overriding goal of this thesis was to further re ne our understanding of the genetic
architecture of cardiomyopathies, Arrhythmogenic Right Ventricular Cardiomyopathy …
architecture of cardiomyopathies, Arrhythmogenic Right Ventricular Cardiomyopathy …
[PDF][PDF] SUPPLEMENTARY MATERIAL FOR THE PAPER “A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR …
MCMC steps. Here we describe our MCMC algorithm in detail. During the update of R (and
of ξ) we first select a list of gene expression, as rows of R (and a list of samples, as elements …
of ξ) we first select a list of gene expression, as rows of R (and a list of samples, as elements …