survival_event

Character vector of length 121 containing whether or not the patient
is deceased.

datasets

Mapper-based survival analysis with transcriptomics data is designed to carry out.
Mapper-based survival analysis is a modification of Progression Analysis of Disease (PAD)
where survival data is taken into account in the filtering function. More
details in: J. Fores-Martos, B. Suay-Garcia, R. Bosch-Romeu, M.C. Sanfeliu-Alonso,
A. Falco, J. Climent, "Progression Analysis of Disease with Survival (PAD-S) by SurvMap
identifies different prognostic subgroups of breast cancer in a large combined set of transcriptomics
and methylation studies" <doi:10.1101/2022.09.08.507080>.

Miriam Esteve

GSSTDA

Gene Structure Survival using Topological Data Analysis

Raquel Bosch

Jaume Forés

Joan Climent

Antonio Falco

survival_event function

Character vector of length 121.<dl>
during follow-up, a value of "1" indicates that the patient did. Samples
from healthy tissue contain a value of NA.</dl>

Format

Survival event vector — survival_event

Character vector of length 121.<dl>
during follow-up, a value of "1" indicates that the patient did. Samples
from healthy tissue contain a value of NA.

</dl>

survival_event: Survival event vector

Description

Usage

Arguments

Format