A discrete helix in the fusion oncoprotein DNA binding domain shifts binding preferences toward long and dense GGAA repeats, which promotes transcriptional hub formation and drives ...

Definition: A microarray is a small, flat substrate carrying an ordered grid of microscopic probe features, each containing a known biological molecule, that is used to measure many molecular targets ...

This package provides a Python interface for fetching and working with the Allen Human Brain Atlas (AHBA) microarray expression data. However, in order to be effectively used in most analyses, the ...

Abstract: Microarray data is of great significance for cancer identification at the gene level. In the microarray dataset, only a small number of characteristic genomes have significant classification ...

Abstract: Microarray image processing leads to the characterization of gene expression levels simultaneously, for all cellular transcripts (mRNAs) in a single experiment. The calculation of expression ...

Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to ...

Denervation induces skeletal muscle atrophy, accompanied by complex biochemical and physiological changes, with potentially devastating outcomes even an increased mortality. Currently, however, there ...

Microarrays are used to detect the expression of a diverse range of thousands of genes. They include microscopic slides that can be printed with a spot of a known sequence of DNA. This sequence then ...

Serial analysis of gene expression (SAGE) uses mRNA from a sample to create complementary DNA (cDNA) fragments for amplification and sequencing using high-throughput sequencing technology. Credit: ...

Carotid plaque instability is a major cause of ischemic stroke, but detailed knowledge about underlying molecular pathways is still lacking. Here, we evaluated large-scale transcriptomic and protein ...