mc_compute_outlier_fc: Compute log fold change expression of each gene given its...
In tanaylab/metacell: Meta cell analysis for single cell RNA-seq data
mc_compute_outlier_fc R Documentation
Compute log fold change expression of each gene given its regularized metacell expression
Description
Each metacell is defiend by a total set of umis, defining an expected number of umi pere cell per gene. After regularization (1 umi per cell), the fold enrichment of the gene in each cell is computed naively. Note that the MC inferred value is currently based on linear mean, whic his highly inadequate when an outlier is present.
Usage
mc_compute_outlier_fc(mc, mat)
Arguments
mc
metacell object (not id)
mat
matrix object (not id)
tanaylab/metacell documentation built on Oct. 19, 2023, 1:01 p.m.
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| mc_compute_outlier_fc | R Documentation |
Compute log fold change expression of each gene given its regularized metacell expression
Description
Each metacell is defiend by a total set of umis, defining an expected number of umi pere cell per gene. After regularization (1 umi per cell), the fold enrichment of the gene in each cell is computed naively. Note that the MC inferred value is currently based on linear mean, whic his highly inadequate when an outlier is present.
Usage
mc_compute_outlier_fc(mc, mat)
Arguments
mc |
metacell object (not id) |
mat |
matrix object (not id) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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