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 ...

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 ...

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 ...

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 ...

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 ...