SF_Prediction: Splicing Factor Prediction

In jpromeror/EventPointer: An effective identification of alternative splicing events using junction arrays and RNA-Seq data

Splicing Factor Prediction

Description

Methodology to predict context-specific splicing factors

Usage

SF_Prediction(
  P_value_PSI,
  ExS,
  nSel = 1000,
  significance = NULL,
  method = "Fisher"
)

Arguments

P_value_PSI	A data.frame with the p.values of the experiment.
ExS	The ExS matrix biuldt in CreateExSmatrix function.
nSel	Top ranked events to be considered as spliced events.
significance	Threshold of P.value to consider which events are deferentially spliced. A vector of length equal to the number of contrasts. If null it will consider the nSel top ranked events.
method	methodology to apply: "Fisher" for Fisher's exact test (default), "PoiBin" for Poisson Binomial test, "Wilcoxon" for a wilcoxon test or "Gsea" for a test of kolmogorov smirnov

Value

The function returs a list. This list has for each contrast a data.frame containing the results of the prediction.

jpromeror/EventPointer documentation built on May 17, 2023, 10:29 p.m.