scDEA.p.adjust: adjusting the p-values identified by individual DE ananlysis...
In keyalone/scDEA: Performing differential expression analysis in single cell RNA sequencing data via ensemble learning
Description
Usage
Arguments
Value
Description
This function is used to adjust the p-values generated by individual DE analysis methods and scDEA.
Usage
1
scDEA.p.adjust(combination.Pvals, adjusted.method = "bonferroni")
Arguments
combination.Pvals
a vector of combined p-value for each gene.
adjusted.method
a string variable specifying the type of p.adjust method used in t-test method.
Possible values: "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none". Default is "bonferroni".
Value
adjusted p-value ,
keyalone/scDEA documentation built on Dec. 21, 2021, 6:36 a.m.
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Description Usage Arguments Value
Description
This function is used to adjust the p-values generated by individual DE analysis methods and scDEA.
Usage
1 | scDEA.p.adjust(combination.Pvals, adjusted.method = "bonferroni")
|
Arguments
combination.Pvals |
a vector of combined p-value for each gene. |
adjusted.method |
a string variable specifying the type of p.adjust method used in t-test method. Possible values: "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none". Default is "bonferroni". |
Value
adjusted p-value ,
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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