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bioc
sccomp:Tests differences in cell-type proportion for single-cell data, robust to outliers
A robust and outlier-aware method for testing differences in cell-type proportion in single-cell data. This model can infer changes in tissue composition and heterogeneity, and can produce realistic data simulations based on any existing dataset. This model can also transfer knowledge from a large set of integrated datasets to increase accuracy further.
Maintained by Stefano Mangiola. Last updated 17 days ago.
bayesianregressiondifferentialexpressionsinglecellmetagenomicsflowcytometryspatialbatch-correctioncompositioncytofdifferential-proportionmicrobiomemultilevelproportionsrandom-effectssingle-cellunwanted-variation
99 stars 8.43 score 69 scripts