Next-generation sequencing has made major strides in the past decade. Studies based on
large sequencing data sets are growing in number, and public archives for raw sequencing …

Development of DNA biosensors and DNA microarrays has increased tremendously over
the past few years as demonstrated by the large number of scientific publications in this area …

The use of multiple omics techniques (ie, genomics, transcriptomics, proteomics, and
metabolomics) is becoming increasingly popular in all facets of life science. Omics …

A common challenge in the analysis of genomics data is trying to understand the underlying
phenomenon in the context of all complex interactions taking place on various signaling …

Background To leverage the potential of multi-omics studies, exploratory data analysis
methods that provide systematic integration and comparison of multiple layers of omics …

With the rapid advances of various high-throughput technologies, generation of '-omics' data
is commonplace in almost every biomedical field. Effective data management and analytical …

Background Gene set enrichment analysis (GSEA) is a microarray data analysis method that
uses predefined gene sets and ranks of genes to identify significant biological changes in …

We present a large-scale analysis of mRNA coexpression based on 60 large human data
sets containing a total of 3924 microarrays. We sought pairs of genes that were reliably …

Background Several gene-expression signatures can be used to predict the prognosis in
diffuse large-B-cell lymphoma, but the lack of practical tests for a genome-scale analysis has …

A key goal of biology is to relate the expression of specific genes to a particular cellular
phenotype. However, current assays for gene expression destroy the structural context. By …