Stable gene expression for normalisation and single-sample scoring.

ABSTRACT: Gene expression signatures have been critical in defining the molecular phenotypes of cells, tissues, and patient samples. Their most notable and widespread clinical application is stratification of breast cancer patients into molecular (PAM50) subtypes. The cost and relatively large amounts of fresh starting material required for whole-transcriptome sequencing has limited clinical application of thousands of existing gene signatures captured in repositories such as the Molecular Signature Database. We identified genes with stable expression across a range of abundances, and with a preserved relative ordering across thousands of samples, allowing signature scoring and supporting general data normalisation for transcriptomic data. Our new method, stingscore, quantifies and summarises relati

SUBMITTER: Bhuva DD 

PROVIDER: S-EPMC7641762 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature