Mapping gene disruptions in sporadic early onset Alzheimer's disease across key brain regions

A new study led by researchers at UTHealth Houston investigated both gene expression and regulation at single cell levels to ...

An AI-driven strategy to accelerate microbial gene function discovery

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research ...

High-fat diets may lead to liver cells becoming cancerous

Long before a liver tumor appears, a high-fat diet can push liver cells into a risky survival mode. That is the central ...
IEEE

Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection

Abstract: Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of ...
Scientific Research Publishing

Squassina, A., Manchia, M., Congiu, D., Chillotti, C., Ardau, R. and Del Zompo, M. (2011) The Use of Gene Expression Microarrays and Whole Exome Sequencing in Lithium ...

ABSTRACT: Lithium has long been established as a first-line mood stabilizer in the treatment of bipolar disorder and treatment-resistant depression. In addition to its psychiatric applications, ...
eLife

Phantasus, a web application for visual and interactive gene expression analysis

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 ...
IEEE

Microarray Gene Expression Data Classification via Wilcoxon Sign Rank Sum and Novel Grey Wolf Optimized Ensemble Learning Models

Abstract: Cancer is a deadly disease that affects the lives of people all over the world. Finding a few genes relevant to a single cancer disease can lead to effective treatments. The difficulty with ...