Article

Understanding disease and disease relationships using transcriptomic data

2019-01-01

Abstract excerpt

As the volume of transcriptomic data continues to increase, so too does its potential to deepen our understanding of disease; for example, by revealing gene expression patterns shared between diseases. However, key questions remain around the strength of the transcriptomic signal of disease and the identification of meaningful commonalities between datasets, which are addressed in this thesis as follows. The first...

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Literature Corpus work: 17544a34-291a-5793-a6dd-854f6de7cb56
DOI: 10.17863/cam.36391

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