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Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data

2023-03-15

Abstract excerpt

Sample-wise deconvolution methods have been developed to estimate cell-type proportions and gene expressions in bulk-tissue samples. However, the performance of these methods and their biological applications has not been evaluated, particularly on human brain transcriptomic data. Here, nine deconvolution methods were evaluated with sample-matched data from bulk-tissue RNAseq, single-cell/nuclei (sc/sn) RNAseq, an...

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Literature Corpus work
db466b7a-4bb1-504d-9499-53c6b9be922e
DOI
10.1101/2023.03.13.532468
Open publication

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Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic dataDOI 10.1101/2023.03.13.532468
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