In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a ...

Example of microarray data. Example of microarray data. Microarray analysis can be performed to assess differences in gene expression between two different samples.

Microarray technology allows the simultaneous monitoring of expression levels of thousands of genes and even whole genomes. But the experiments themselves represent only the opening act. The grand ...

The logical next step for microarray data analysis is to look at the significant changes in gene expression, bring them into a biological context, and classify and rank the experimental findings ...

Statistical and Biological Review of Transcriptome Data Made Possible by Interactive Report Although bench scientists understand the value of using gene-expression microarray technology, the full ...

See related Hot Paper, "The Rise of Free, Global Gene Expression Data Sets". The rapid-fire advances in molecular biology, genetics, automation, and microarray analysis are a constant boon to drug ...

We investigated the role of DEGs in three microarray data sets; GSE18897, GSE25097, and GSE36376 in HCC and obesity, which are associated with obesity, tumor, and recurrence, respectively. The ...

VIA automates variant calling, annotation and interpretation with AI for enhanced contextualization of variant calls across multiple types with accelerated time to results for OGM, microarray and ...