anova2de: Use ANOVA to filter low epxressed genes

Description Usage Arguments Value See Also

View source: R/anova2de.R

Description

Analysis of variance is used to filter the low expressed genes. More details can be seen in aov.

Usage

1
anova2de(data.exp, ncol.idx, pval.cut = 0.05, model = "expression~time")

Arguments

data.exp

gene expression data matrix with variables in columns and samples in rows. The first columns are the indeces for comparison, such as time points and conditions for comparision.

ncol.idx

the number of index columns.

pval.cut

a numeric value for significance cut-off. The default is pval.cut=0.05.

model

the model used for comparison. The default is model="expression~time".

Value

anova2de returns a list includes the ANOVA p-value results, the names of differentially expressed genes and the time-series data of differential expressed genes.

See Also

aov, RLowPC


wyguo/RLowPC documentation built on May 28, 2017, 7:34 a.m.