ceRNAMethod: Main ceRNAR algorithm

In ywhsiao/ceRNAR: ceRNAR: An R Package for Identification and Analysis of ceRNAs-miRNA Triplets

Main ceRNAR algorithm

Description

A function to conduct three steps in algorithm, including pairs filtering, segment clustering and peak merging

Usage

ceRNAMethod(
  path_prefix = NULL,
  project_name = "demo",
  disease_name = "DLBC",
  window_size = 10,
  cor_method = "pearson",
  cor_threshold_peak = 0.85
)

Arguments

path_prefix	user's working directory
project_name	the project name that users can assign (default: demo)
disease_name	the abbreviation of disease that users are interested in (default: DLBC)
window_size	the number of samples for each window (defaut: 10)
cor_method	selection of correlation methods, including pearson and spearman (default: pearson)
cor_threshold_peak	peak threshold of correlation value between 0 and 1 (default: 0.85)

Value

a dataframe object

Examples

ceRNAMethod(
path_prefix = NULL,
project_name = 'demo',
disease_name = 'DLBC',
window_size = 10,
cor_method = 'pearson',
cor_threshold_peak = 0.85
)

ywhsiao/ceRNAR documentation built on Aug. 6, 2023, 3:13 p.m.