Anova_info | R Documentation |
This function is to test the two-way significance of cell type specific expression cross samples
Anova_info(
eset,
non.zero = TRUE,
markers = NULL,
clusters,
samples,
select.ct = NULL,
num.info = 25,
...
)
eset |
single cell ExpressionSet |
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 |
clusters |
character, the name of phenoData used as clusters |
samples |
character, the name of phenoData used as samples |
select.ct |
vector of cell types included, default as |
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
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