Massively parallel sequencing (also known as next generation sequencing (NGS))
technology has emerged as a powerful tool in characterizing genomic profiles. Among many …

Background One of the most important and often neglected components of a successful
RNA sequencing (RNA-Seq) experiment is sample size estimation. A few negative binomial …

Sample size and power determination is the first step in the experimental design of a
successful study. Sample size and power calculation is required for applications for National …

Background: Given the high technical reproducibility and orders of magnitude greater
resolution than microarrays, next-generation sequencing of mRNA (RNA-Seq) is quickly …

As RNA-seq rapidly develops and costs continually decrease, the quantity and frequency of
samples being sequenced will grow exponentially. With proteomic investigations becoming …

Sample size calculation for adequate power analysis is critical in optimizing RNA-seq
experimental design. However, the complexity increases for directly estimating sample size …

Next-generation sequencing technologies are quickly becoming the preferred approach for
characterizing and quantifying entire genomes. Even though data produced from these …

Abstract The Holy Grail of precision medicine is the comprehensive integration of patient
genotypic with phenotypic data to develop personalized disease prevention and treatment …

The high throughput RNA sequencing (RNA-seq) technology has become the popular
method of choice for transcriptomics and the detection of differentially expressed genes …

Background Sample size calculation and power estimation are essential components of
experimental designs in biomedical research. It is very challenging to estimate power for …