hmmSeq: A hidden Markov model for detecting differentially expressed genes from RNA-seq data
hmmSeq: A hidden Markov model for detecting differentially expressed genes from RNA-seq
data Page 1 The Annals of Applied Statistics 2015, Vol. 9, No. 2, 901–925 DOI: 10.1214/15-AOAS815 …
data Page 1 The Annals of Applied Statistics 2015, Vol. 9, No. 2, 901–925 DOI: 10.1214/15-AOAS815 …
Modeling the next generation sequencing read count data for DNA copy number variant study
As one of the most recent advanced technologies developed for biomedical research, the
next generation sequencing (NGS) technology has opened more opportunities for scientific …
next generation sequencing (NGS) technology has opened more opportunities for scientific …
[PDF][PDF] Clinical and genomic strategies for detecting hepatocellular carcinoma in early stages: a systematic review
Hepatocellular carcinoma is one of the commonest deadly tumors, and it is usually diagnose
at a late stage, when effective treatment is very difficult. Making its discovery before the …
at a late stage, when effective treatment is very difficult. Making its discovery before the …
An online copy number variant detection method for short sequencing reads
A Yiğiter, J Chen, L An… - Journal of Applied Statistics, 2015 - Taylor & Francis
The availability of the next generation sequencing (NGS) technology in today's biomedical
research has provided new opportunities in scientific discovery of genetic information. The …
research has provided new opportunities in scientific discovery of genetic information. The …
A Bayesian Analysis of Copy Number Variations in Array Comparative Genomic Hybridization Data
Abstract Array Comparative Genomic Hybridization (CGH) has been widely used for
detecting genomic copy number variations (CNVs). The central goal of array CGH data …
detecting genomic copy number variations (CNVs). The central goal of array CGH data …
Species sampling priors for modeling dependence: an application to the detection of chromosomal aberrations
We discuss a class of Bayesian nonparametric priors that can be used to model local
dependence in a sequence of observations. Many popular Bayesian nonparametric priors …
dependence in a sequence of observations. Many popular Bayesian nonparametric priors …
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 …
[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] Change-point estimation in piecewise constant regression models and extensions
S FASOLA - 2015 - iris.unipa.it
1.1 Background The problem of change-point detection appears to have been introduced in
the quality control context (Shewhart, 1925), where it was concerned with the monitoring of …
the quality control context (Shewhart, 1925), where it was concerned with the monitoring of …