The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data

Abstract excerpt

We recently introduced the Gini coefficient (GC) for assessing the expression variation of a particular gene in a dataset, as a means of selecting improved reference genes over the cohort (‘housekeeping genes’) typically used for normalisation in expression profiling studies. Those genes (transcripts) that we determined to be useable as reference genes differed greatly from previous suggestions based on hypothesis...

Topics

Open a Topic to create a Post that cites this publication.

• Cluster Analysis
• Computational Biology
• Databases, Genetic
• Gene Expression Profiling
• Internet
• Oligonucleotide Array Sequence Analysis
• Organ Specificity
• Reference Values

Identifiers and source

Literature Corpus work

d9346f36-05d2-5fb6-a2d6-d09f0675477d

DOI

10.1101/718007