results_dsga: results dsga

In GSSTDA: Progression Analysis of Disease with Survival using Topological Data Analysis

results dsga

Description

It calculates the 100 genes with the highest variability in the matrix disease component between samples and use them to draw the heat map.

Usage

results_dsga(matrix_disease_component, case_tag)

Arguments

matrix_disease_component

Disease component matrix that contains the disease component of all patients. Output of the function generate_disease_component.

case_tag

Character vector of the same length as the number of columns of full_data. Patients must be in the same order as in full_data. It must be indicated for each patient whether he/she is healthy or not. One value should be used to indicate whether the patient is healthy and another value should be used to indicate whether the patient's sample is tumourous. The user will then be asked which one indicates whether the patient is healthy. Only two values are valid in the vector in total.

Value

A heatmap of the 100 genes with the highest variability in the matrix disease component.

GSSTDA documentation built on June 22, 2024, 10:44 a.m.