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ABSTRACT: Background
Differences in cell-type composition across subjects and conditions often carry biological significance. Recent advancements in single cell sequencing technologies enable cell-types to be identified at the single cell level, and as a result, cell-type composition of tissues can now be studied in exquisite detail. However, a number of challenges remain with cell-type composition analysis - none of the existing methods can identify cell-type perfectly and variability related to cell sampling exists in any single cell experiment. This necessitates the development of method for estimating uncertainty in cell-type composition.Results
We developed a novel single cell differential composition (scDC) analysis method that performs differential cell-type composition analys
SUBMITTER: Cao Y
PROVIDER: S-EPMC6929335 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature