Extensively characterized, modified, and employed for a variety of purposes, adenovirus
(Ad) vectors are generally regarded as having great potential by many applied virologists …

Feature selection techniques have been used as the workhorse in biomarker discovery
applications for a long time. Surprisingly, the stability of feature selection with respect to …

Motivation: Many problems in data integration in bioinformatics can be posed as one
common question: Are two sets of observations generated by the same distribution? We …

Gene expression data from microarrays are being applied to predict preclinical and clinical
endpoints, but the reliability of these predictions has not been established. In the MAQC-II …

Motivation: Statistical methods are used to test for the differential expression of genes in
microarray experiments. The most widely used methods successfully test whether the true …

Over the last decade, the introduction of microarray technology has had a profound impact
on gene expression research. The publication of studies with dissimilar or altogether …

Background The investigation of the interconnections between the molecular and genetic
events that govern biological systems is essential if we are to understand the development …

Microarray-based expression profiling experiments typically use either a one-color or a two-
color design to measure mRNA abundance. The validity of each approach has been amply …

Over the last decade, the introduction of microarray technology has had a profound impact
on gene expression research. The publication of studies with dissimilar or altogether …

A volcano plot displays unstandardized signal (eg log-fold-change) against noise-
adjusted/standardized signal (eg t-statistic or-log10 (p-value) from the t-test). We review the …