lancaster.combination: Combining the p-values identified by DE ananlysis methods

In keyalone/scDEA: Performing differential expression analysis in single cell RNA sequencing data via ensemble learning

Description

This function is used to combine the results of differential expression anlaysis and obtain an uniform result.

Usage

lancaster.combination(Pvals, weight = TRUE, trimmed = 0.2)

Arguments

Pvals	a p-value matrix. The rows represent genes and the columns correspond to the individual DE analysis methods.
weight	a boolean variable that defines whether to use spearman correlation measure the similarity between different DE analysis methods. Default is "TRUE".
trimmed	a real number between 0 and 0.5 to trim p-values. Default value is 0.2.

Value

a vector represents the combined p-value for each gene.

Author(s)

Huisheng, Li, <[e-mail]>

keyalone/scDEA documentation built on Dec. 21, 2021, 6:36 a.m.