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Model-based tumour subclonal deconvolution accounting for spatio-temporal sampling biases

2025-04-03

Abstract excerpt

Bulk DNA sequencing has entered the clinic, and understanding tumour evolution in space and time has become critical for advancing precision oncology. A recent work by us has brought a population genetics perspective into the classical tumour subclonal deconvolution problem, showing how multiple spatiotemporal sampling biases arise when we collect more than one sample of the same tumour. Sampling biases complicate...

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Literature Corpus work
86d50615-ea43-59c0-ab72-aec116964236
DOI
10.1101/2025.03.31.646463
Open publication

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Model-based tumour subclonal deconvolution accounting for spatio-temporal sampling biasesDOI 10.1101/2025.03.31.646463
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