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• W2893657107 abstract "We develop a new deconvolution approach, where we allow for a high level of dynamics in signature matrix S, except for retaining its structural composition learnt from large amount of training data sets as well as the tissue expression data itself. The unbiasedly estimating proportion of immune and stromal cells could then be reliably correlated with features derived from imaging, genomic and clinical data of these patients." @default.
• W2893657107 created "2018-10-05" @default.
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• W2893657107 date "2018-09-27" @default.
• W2893657107 modified "2023-10-08" @default.
• W2893657107 title "ICTD: Inference of cell types and deconvolution -- a next generation deconvolution method for accurate assess cell population and activities in tumor microenvironment" @default.
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