The photoactivatable ribonucleoside enhanced cross‐linking immunoprecipitation (PAR‐
CLIP) has been increasingly used for the global mapping of RNA–protein interaction sites …

Array comparative genomic hybridization (aCGH) allows identification of copy number
alterations across genomes. The key computational challenge in analyzing copy number …

Motivation: Array comparative genomic hybridization (arrayCGH) is widely used to measure
DNA copy numbers in cancer research. ArrayCGH data report log-ratio intensities of …

The next-generation sequencing (NGS) technology has revolutionized research in genetics
and genomics, resulting in massive NGS data and opening more fronts to answer …

We consider a Bayesian hierarchical model for the integration of gene expression levels
with comparative genomic hybridization (CGH) array measurements collected on the same …

Motivation: Genome analysis has become one of the most important tools for understanding
the complex process of cancerogenesis. With increasing resolution of CGH arrays, the …

Summary In this 'Big Data'era, statisticians inevitably encounter data generated from various
disciplines. In particular, advances in bio‐technology have enabled scientists to produce …

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 …

Array CGH is a high-throughput technique designed to detect genomic alterations linked to
the development and progression of cancer. The technique yields fluorescence ratios that …

As an extension to hidden Markov models, the hidden semi-Markov models allow the
probability distribution of staying in the same state to be a general distribution. Therefore …