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 single ...

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 ...

Microarray image analysis has long been recognised as a pivotal methodology for quantifying gene expression across thousands of genes simultaneously. By converting intricate patterns of hybridised ...

In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold potential as minimally invasive diagnostic biomarkers. This study aimed to ...

As a graduate student, Eric Olson learned something about DNA microarrays: Biochip data management can be vexing. His graduate adviser abandoned a number of microarray experiments because it was too ...

To combat that problem, Lin helped found an annual competition called Critical Assessment of Microarray Data Analysis (CAMDA; www.camda.duke.edu). The idea is to present statisticians with published ...

DUBLIN--(BUSINESS WIRE)--The "China Microarray Market Size, Share, Forecast, & Trend Analysis by Product, Application, End User- Forecast to 2031" report has been added to ResearchAndMarkets.com's ...