Journal article

Stable gene expression for normalisation and single-sample scoring

Dharmesh D Bhuva, Joseph Cursons, Melissa J Davis

Cold Spring Harbor Laboratory

Abstract

AbstractBackgroundTranscriptomic signatures are useful in defining the molecular phenotypes of cells, tissues, and patient samples. Their most successful and widespread clinical application is the stratification of breast cancer patients into molecular (PAM50) subtypes. In most cases, gene expression signatures are developed using transcriptome-wide measurements, thus methods that match signatures to samples typically require a similar degree of measurements. The cost and relatively large amounts of fresh starting material required for whole-transcriptome sequencing has limited clinical applications, and accordingly thousands of existing gene signatures are unexplored in a clinical context.R..

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University of Melbourne Researchers

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