metevalue.metilene {metevalue}

Calculate E-value of the Metilene data format

Description

Calculate E-value of the Metilene data format

Usage

metevalue.metilene(
  methyrate,
  metilene.output,
  adjust.methods = "BH",
  sep = "\t",
  bheader = FALSE
)

Arguments

methyrate

metilene input file path. This file is a sep (e.g. TAB) separated file with two key columns and several value columns. For exampe:

chr	pos	g1	...	g1	g2	...	g2
chr1	1	0.1	...	0.1	0.2	...	0.2

The columns are (in order):

- chr and pos are keys;

- g1~g2: methylation rate data in groups.

metilene.output

metilene input file path. This file should stored as a sep(e.g. TAB) separated file with two key columns and several value columns: The columns are (in order):

- chr: Chromosome

- start: The positions of the start sites of the corresponding region

- end: The positions of the end sites of the corresponding region

- q-value: The adjusted p-value based on BH method in MWU-test

- methyl.diff: The difference between the group means of methylation level

- CpGs: The number of CpG sites within the corresponding region

- p : p-value based on MWU-test

- p2: p-value based on 2D KS-test

- m1: The absolute mean methylation level for the corresponding segment of group 1

- m2: The absolute mean methylation level for the corresponding segment of group 2

adjust.methods

is the adjust methods of e-value. It can be 'bonferroni', 'hochberg', 'holm', 'hommel', 'BH', 'BY'

sep

seperator, default is the TAB key.

bheader

a logical value indicating whether the metilene.output file contains the names of the variables as its first line. By default, bheader = FALSE.

Value

a dataframe, the columns are (in order):

- chr: Chromosome

- start: The positions of the start sites of the corresponding region

- end: The positions of the end sites of the corresponding region

- q-value: The adjusted p-value based on BH method in MWU-test

- methyl.diff: The difference between the group means of methylation level

- CpGs: The number of CpG sites within the corresponding region

- p : p-value based on MWU-test

- p2: p-value based on 2D KS-test

- m1: The absolute mean methylation level for the corresponding segment of group 1

- m2: The absolute mean methylation level for the corresponding segment of group 2

- e_value: The e-value of the corresponding region

Examples

#### metilene example ####'
data(demo_metilene_input)
data(demo_metilene_out)
#example_tempfiles = tempfile(c("metilene_input", "metilene_out"))
#tempdir()
#write.table(demo_metilene_input, file=example_tempfiles[1],
#      row.names=FALSE, col.names=TRUE, quote=FALSE, sep='\t')
#write.table(demo_metilene_out, file=example_tempfiles[2],
#      sep ="\t", row.names =FALSE, col.names =TRUE, quote =FALSE)
#result = metevalue.metilene(example_tempfiles[1], example_tempfiles[2],
#      bheader = TRUE)
#head(result)