Abstract: In the diagnosis and treatment of cancer, cancer classification is a vital issue. Gene selection is much needed to solve the high dimensionality issue in microarray data, small sample size, ...

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 ...

Maggie Clevenger, a staff scientist in the lab of UChicago Pritzker School of Molecular Engineering Assoc. Prof. Nicolas Chevrier, is the first author of a paper outlining a new technique to prepare ...

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 ...

This study introduces Phantasus, a useful tool accessible through both web and local applications, designed to analyze transcriptome data derived from microarray or RNA-seq technologies. The ...

In a study using a mouse model of aging that mimics breast cancer development in estrogen receptor-positive post-menopausal women, investigators have determined that over-expression, or switching on ...

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 ...

Gene expression is a highly regulated mechanism that controls the function and adaptability of all living cells including prokaryotes and eukaryotes. Several techniques exist for studying and ...

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: ...

The rupture of intracranial aneurysm (IA) causes subarachnoid hemorrhage associated with high morbidity and mortality. We compared gene expression profiles in aneurysmal domes between unruptured IAs ...