VariableProfiles

The test of the full model of each gene by sc.p.vector().

Value

An object of class VariableProfiles: the test of the full model of each gene, which sc.p.vector() stores in the Profile slot of a ScMaSigPro object. scmpResults() returns its p-values.

Details

validObject() checks that p_values and adj_p_values have the same length and names, that fdr holds at most one value and that every gene in non_flat is named in p_values.

Slots

non_flat

The genes with a non-flat profile.

p_values

The p-value of every fitted gene, named by gene.

adj_p_values

The adjusted p-values, in the same order.

fdr

The largest p-value of the genes with a non-flat profile, empty when there is none.

See also

Other classes: Estimates, MatrixDesign, ParameterConfig, ScMaSigPro, Significant, updateObject,ScMaSigPro-method

Author

Priyansh Srivastava spriyansh29@gmail.com

Examples

data("scmp.ob", package = "scMaSigPro")
res <- scmpResults(scmp.ob)
head(res[, c("p_value", "adj_p_value", "non_flat")])
#> DataFrame with 6 rows and 3 columns
#>           p_value adj_p_value  non_flat
#>         <numeric>   <numeric> <logical>
#> Gene1 2.21646e-01 3.46322e-01     FALSE
#> Gene2 1.30835e-13 4.84576e-13      TRUE
#> Gene3 2.51249e-24 1.14204e-23      TRUE
#> Gene4 1.96112e-56 1.96112e-55      TRUE
#> Gene5 6.16240e-02 1.04447e-01     FALSE
#> Gene6 5.80848e-01 7.21780e-01     FALSE