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 ...

Center for Bioinformatics, Department of Genetics, University of Pennsylvania School of Medicine https://www.nature.com/nature Jie Zheng, Junmin Liu, Elisabetta ...

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 ...

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 ...

This study aims to identify potential biomarkers of hepatocellular carcinoma (HCC) occurrence/recurrence and obesity, along with the molecular mechanisms that involve these biomarkers. Three ...

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 ...