#----------------------------------------------------------------------------------------------------
# Unit Tests for Naive Solver
library(trena)
library(RUnit)
#----------------------------------------------------------------------------------------------------
printf <- function(...) print(noquote(sprintf(...)))
#----------------------------------------------------------------------------------------------------
# Run All Tests
runTests <- function() {
test_NaiveSolverConstructor()
test_ampAD.mef2c.154tfs.278samples.naive()
}
#----------------------------------------------------------------------------------------------------
# Constructor Test
test_NaiveSolverConstructor <- function() {
printf("--- test_NaiveSolverConstructor")
# Construct solver & get name
mtx <- matrix(1:9,nrow=3)
rownames(mtx) <- c("gene1","gene2","gene3")
solver <- NaiveSolver(mtx,targetGene = "gene1",
candidateRegulators = c("gene2","gene3"))
checkEquals(class(solver)[1], "NaiveSolver")
checkTrue(all(c("NaiveSolver", "Solver") %in% is(solver)))
} # test_NaiveSolverConstructor
#----------------------------------------------------------------------------------------------------
# MEF2C Data Test
test_ampAD.mef2c.154tfs.278samples.naive <- function() {
printf("--- test_ampAD.mef2c.154tfs.278samples.naive")
# Load matrix and transform via arcsinh
load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData"))
target.gene <- "MEF2C"
mtx.asinh <- asinh(mtx.sub)
tfs <- setdiff(rownames(mtx.asinh), "MEF2C")
naive.solver <- NaiveSolver(mtx.asinh, target.gene, tfs)
tbl <- run(naive.solver)
# Checks
checkTrue(min(tbl$beta) > -0.3)
checkTrue(max(tbl$beta) < 0.3)
checkTrue(min(tbl$p.value) > 1e-14)
checkTrue(max(tbl$p.value) < 1e-01)
} # test_ampAD.mef2c.154tfs.278samples.naive
#----------------------------------------------------------------------------------------------------
if(!interactive()) runTests()
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