inst/doc/miRspongeR.R

## ----style, echo=FALSE, results="asis", message=FALSE-------------------------
BiocStyle::markdown()
knitr::opts_chunk$set(tidy = FALSE,
    warning = FALSE,
    message = FALSE)

## ----echo=FALSE, results='hide', message=FALSE--------------------------------
library(miRspongeR)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
miRHomologyceRInt <- spongeMethod(miRTarget, method = "miRHomology")
head(miRHomologyceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
ExpDatacsv <- system.file("extdata", "ExpData.csv", package="miRspongeR")
ExpData <- read.csv(ExpDatacsv, header=FALSE, sep=",", stringsAsFactors = TRUE)
pcceRInt <- spongeMethod(miRTarget, ExpData, method = "pc")
head(pcceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
ExpDatacsv <- system.file("extdata", "ExpData.csv", package="miRspongeR")
ExpData <- read.csv(ExpDatacsv, header=FALSE, sep=",", stringsAsFactors = TRUE)
sppcceRInt <- spongeMethod(miRTarget, ExpData, senscorcutoff = 0.1, method = "sppc")
head(sppcceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
ExpDatacsv <- system.file("extdata", "ExpData.csv", package="miRspongeR")
ExpData <- read.csv(ExpDatacsv, header=FALSE, sep=",", stringsAsFactors = TRUE)
hermesceRInt <- spongeMethod(miRTarget, ExpData, num_perm = 10, method = "hermes")
head(hermesceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
ExpDatacsv <- system.file("extdata", "ExpData.csv", package="miRspongeR")
ExpData <- read.csv(ExpDatacsv, header=FALSE, sep=",", stringsAsFactors = TRUE)
ppcceRInt <- spongeMethod(miRTarget, ExpData, num_perm = 10, method = "ppc")
head(ppcceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
MREs <- system.file("extdata", "MREs.csv", package="miRspongeR")
mres <- read.csv(MREs, header=TRUE, sep=",")
muTaMEceRInt <- spongeMethod(miRTarget, mres = mres, method = "muTaME")
head(muTaMEceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
MREs <- system.file("extdata", "MREs.csv", package="miRspongeR")
mres <- read.csv(MREs, header=TRUE, sep=",")
ExpDatacsv <- system.file("extdata", "ExpData.csv", package="miRspongeR")
ExpData <- read.csv(ExpDatacsv, header=FALSE, sep=",", stringsAsFactors = TRUE)
cerniaceRInt <- spongeMethod(miRTarget, ExpData, mres, method = "cernia")
head(cerniaceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
ExpDatacsv <- system.file("extdata", "ExpData.csv", package="miRspongeR")
ExpData <- read.csv(ExpDatacsv, header=FALSE, sep=",", stringsAsFactors = TRUE)
miRHomologyceRInt <- spongeMethod(miRTarget, method = "miRHomology")
pcceRInt <- spongeMethod(miRTarget, ExpData, method = "pc")
sppcceRInt <- spongeMethod(miRTarget, ExpData, method = "sppc")
Interlist <- list(miRHomologyceRInt[, 1:2], pcceRInt[, 1:2], sppcceRInt[, 1:2])
IntegrateceRInt <- integrateMethod(Interlist, Intersect_num = 2)
head(IntegrateceRInt)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
miRHomologyceRInt <- spongeMethod(miRTarget, method = "miRHomology")
Groundtruthcsv <- system.file("extdata", "Groundtruth.csv", package="miRspongeR")
Groundtruth <- read.csv(Groundtruthcsv, header=TRUE, sep=",")
spongenetwork_validated <- spongeValidate(miRHomologyceRInt[, 1:2], directed = FALSE, Groundtruth)
spongenetwork_validated

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
miRHomologyceRInt <- spongeMethod(miRTarget, method = "miRHomology")
spongenetwork_Cluster <- netModule(miRHomologyceRInt[, 1:2], modulesize = 2)
spongenetwork_Cluster

## ---- eval=FALSE, include=TRUE------------------------------------------------
#  miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
#  miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
#  miRHomologyceRInt <- spongeMethod(miRTarget, method = "miRHomology")
#  spongenetwork_Cluster <- netModule(miRHomologyceRInt[, 1:2], modulesize = 2)
#  sponge_Module_DEA <- moduleDEA(spongenetwork_Cluster)
#  sponge_Module_FEA <- moduleFEA(spongenetwork_Cluster)

## -----------------------------------------------------------------------------
miR2Target <- system.file("extdata", "miR2Target.csv", package="miRspongeR")
miRTarget <- read.csv(miR2Target, header=TRUE, sep=",")
ExpDatacsv <- system.file("extdata", "ExpData.csv", package="miRspongeR")
ExpData <- read.csv(ExpDatacsv, header=FALSE, sep=",", stringsAsFactors = TRUE)
SurvDatacsv <- system.file("extdata", "SurvData.csv", package="miRspongeR")
SurvData <- read.csv(SurvDatacsv, header=TRUE, sep=",")
pcceRInt <- spongeMethod(miRTarget, ExpData, method = "pc")
spongenetwork_Cluster <- netModule(pcceRInt[, 1:2], modulesize = 2)
sponge_Module_Survival <- moduleSurvival(spongenetwork_Cluster, 
    ExpData, SurvData, devidePercentage=.5)
sponge_Module_Survival

## -----------------------------------------------------------------------------
sessionInfo()

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miRspongeR documentation built on Nov. 19, 2020, 2:01 a.m.