GEO series
Hidden RNA profiles revealed by malignant cell fraction-informed deconvolution
GSE263756
Homo sapiens
Expression profiling by high throughput sequencing
48 samples
2024/05/23
GPL24676
Summary
To understand cancer biology, it is crucial to unravel malignant- and microenvironmental cell states. Deconvolution of the bulk RNA profile from tumors can provide this insight, but is severely impaired by interpatient heterogeneity of the malignant cells. Bayesian statistics enables to inform RNA-deconvolution with malignant cell fraction estimates from e.g. DNA sequencing. We developed cell fraction-informed deconvolution, and evaluated this experimentally using 46 bulk RNA profiles from blood with 19 CyTOF determined cell fractions from this repository.
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