Nothing
## ---- message=FALSE-----------------------------------------------------------
library(QuaternaryProd)
# Compute the probability mass function
pmf <- QP_Pmf(q_p = 20, q_m = 20, q_z = 20, q_r = 0, n_p = 20, n_m = 20, n_z = 20)
# Plot the mass function
plot(names(pmf), pmf, col="blue", xlab = "scores", ylab = "probabilities")
lines(names(pmf), pmf, col = "blue")
## ---- message=FALSE-----------------------------------------------------------
# Get the p-value of score 5
pval <- QP_Pvalue(score = 5, q_p = 20, q_m = 20, q_z = 20, q_r = 0,
n_p = 20, n_m = 20, n_z = 20)
pval
# Compue the p-value only if it is statistically significant otherwise
# return -1
pval <- QP_SigPvalue(score = 5, q_p = 20, q_m = 20, q_z = 20, q_r = 0,
n_p = 20, n_m = 20, n_z = 20)
pval
## ---- message=FALSE-----------------------------------------------------------
library(QuaternaryProd)
# Get gene expression data
e2f3 <- system.file("extdata", "e2f3_sig.txt",
package = "QuaternaryProd")
e2f3 <- read.table(e2f3, sep = "\t",
header = TRUE, stringsAsFactors = FALSE)
myc <- system.file("extdata", "myc_sig.txt",
package = "QuaternaryProd")
myc <- read.table(myc, sep = "\t",
header = TRUE, stringsAsFactors = FALSE)
# Rename column names appropriately
# and remove duplicated entrez ids in the gene expression data
names(e2f3) <- c("entrez", "pvalue", "fc")
e2f3 <- e2f3[!duplicated(e2f3$entrez),]
names(myc) <- c("entrez", "pvalue", "fc")
myc <- myc[!duplicated(myc$entrez),]
## ---- message=FALSE, progress=FALSE-------------------------------------------
# Compute the Quaternary Dot Product Scoring Statistic for only statistically
# significant regulators
quaternary_results <- RunCRE_HSAStringDB(e2f3, method = "Quaternary",
fc.thresh = log2(1.3), pval.thresh = 0.05,
only.significant.pvalues = TRUE,
significance.level = 0.05,
epsilon = 1e-16, progressBar = FALSE,
relations = NULL, entities = NULL)
quaternary_results[1:4, c("uid","symbol","regulation","pvalue")]
## ---- message=FALSE, progress=FALSE-------------------------------------------
ternary_results <- RunCRE_HSAStringDB(myc, method = "Ternary",
fc.thresh = log2(1.3), pval.thresh = 0.05,
only.significant.pvalues = TRUE,
significance.level = 0.05,
epsilon = 1e-16, progressBar = FALSE,
relations = NULL, entities = NULL)
ternary_results[1:4, c("uid","symbol","regulation","pvalue")]
## ---- message=FALSE, progress=TRUE, quiet = TRUE------------------------------
enrichment_results <- RunCRE_HSAStringDB(myc, method = "Enrichment",
fc.thresh = log2(1.3), pval.thresh = 0.05,
only.significant.pvalues = TRUE,
significance.level = 0.05,
epsilon = 1e-16, progressBar = FALSE,
relations = NULL, entities = NULL)
enrichment_results[enrichment_results$symbol == "MYC", c("symbol","regulation","pvalue")]
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