Find the differential methylation CpG sites in the lincRNA, protein coding gene ,processed transcript and pseudogene

Description

Find the differential methylation sites or the sites that related with the phenotype who are in the lincRNA etc.

Usage

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dms(data,contin=c("ON","OFF"),classes=c("lincRNA","gene","processed_transcript",
"pseudogene"),testmethod = c("wilcox","limma", "t.test", "satterthwaite"), Padj =
c("holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none"), gcase =
"case", gcontrol = "control", paired = FALSE,rawpcut = 0.05, adjustpcut = 0.05,
 betadiffcut = 0.3,XY=c(FALSE,"X","Y",c("X","Y")),tlog=FALSE,num)

Arguments

data

The objects of class LincMethy450 which return from loaddata. The beta matrixs of sites. A site per row and A sample per column.

classes

Whose CoG sites will be calculated

contin

If phenotype is continuous,contin is 'ON',and use linear regression to find the sites that related with the phenotype.

testmethod

The method to do the test to find dms while contin is 'OFF' which means phenotype is discontinuous.

Padj

The method of multiple testing adjustment to adjust P value.

gcase

The name of case group while contin is 'OFF'.

gcontrol

The name of case group while contin is 'OFF'.

paired

Whether compare in pairs while do t.test.

rawpcut

The threshold for cutting raw P value.

adjustpcut

The threshold for cutting adjust P value.

betadiffcut

The minimum differential between two groups' means while contin is 'OFF'.

num

The number of sites,elements or regions to plot.

XY

The chromosomes that where CpG sites were filtered.

tlog

Whether do the log transform for the P values.

Details

dms is designed to find differential methylation sites or the CpG sites that related with the continuous phenotype. If contin is 'ON', which means the phenotype is continuous, and linear regression will be used. If the phenotype isn't continuous, test such as t test will be used.

Value

dms will return two txt files that one contains the sites whose P value less than rawpcut, adjust P less than adjustpcut and the differ of the means of two groups more than betadiffer while another is the beta matrix of dms. There are box plot for most significative sites,heat map and Manhattan of all significative sites.

Author(s)

Hui Zhizhihui013201@gmail.com,Yanxun Suhmu_yanxunsu@163.com,Xin Lilixin920126@163.com

See Also

See Also dme and dmr

Examples

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   Dir <- system.file("extdata/localdata",package="LncDM")
   dir.create(paste(Dir,"/dms",sep=""))
   ###user can set the dir of their own
   setwd(paste(Dir,"/dms",sep=""))
   ###load the result of loaddata()
   load(paste(Dir,"/loadData.Rdata",sep=""))
   dms(data=loadData,contin="OFF",classes="lincRNA",testmethod = "t.test", Padj = "fdr", 
   gcase = "case", gcontrol = "control", paired = FALSE,rawpcut = 0.05, adjustpcut = 0.05, 
   betadiffcut = 0.3,XY=c(FALSE,"X","Y"),tlog=FALSE,num=1)