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Thursday | via Bioinformatics
We implement an R package, UNsupervised DecOnvolution , that can be used to automatically detect cell-specific marker genes located on the scatter radii of mixed gene expressions, estimate cellular proportions in each sample and deconvolute mixed expressions into cell-specific expression profiles. We demonstrate the performance of UNDO over a wide range of tumor-stroma mixing proportions, validate UNDO on various biologically mixed benchmark gene expression datasets and further estimate tumor purity in TCGA/CPTAC datasets. Comment?
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