Anova_info: ANOVA Test for each gene
In xuranw/MuSiC: Multi-subject single cell deconvolution

Anova_info

R Documentation

ANOVA Test for each gene

This function is to test the two-way significance of cell type specific expression cross samples

Anova_info(
  sce,
  non.zero = TRUE,
  markers = NULL,
  clusters,
  samples,
  select.ct = NULL,
  num.info = 25,
  ...
)

`sce`	SingleCellExperiment single cell dataset
`non.zero`	logical, default as TRUE. If TRUE, we only use gene that have non-zero expression
`markers`	vector of characters, default as NULL. If NULL, use all genes in `sce`
`clusters`	character, the name of colData used as clusters
`samples`	character, the name of colData used as samples
`select.ct`	vector of cell types included, default as `NULL`. If `NULL`, include all cell types in `x`
`num.info`	numeric, number of selected gene for each cell type. Default at 25

a list of

F statistics of samples;
F statistics of clusters;
F statistics of two-way anova;
selected informative genes: high F statictis for clusters compare to samples;