SegmentClusteringPlusPeakMerging: two of three steps in main ceRNAR algorithm

View source: R/SegmentClusteringPlusPeakMerging.R

SegmentClusteringPlusPeakMergingR Documentation

two of three steps in main ceRNAR algorithm

Description

A function to conduct two of three steps in algorithm, that is, segment clustering and peak merging

Usage

SegmentClusteringPlusPeakMerging(
  path_prefix = NULL,
  project_name = "demo",
  disease_name = "DLBC",
  cor_threshold_peak = 0.85,
  window_size = 10
)

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)

cor_threshold_peak

peak threshold of correlation value between 0 and 1 (default: 0.85)

window_size

the number of samples for each window (default: 10)

Value

a dataframe object

Examples

SegmentClusteringPlusPeakMerging(
project_name = 'demo',
disease_name = 'DLBC',
cor_threshold_peak = 0.85,
window_size = 10)


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