samples_in_levels

This function returns a list of vectors containing the
individuals included at each level, i.e. the vectors of individuals with
a value of the filter function within each of the intervals.

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

samples_in_levels function

<dl><dt>interval_data</dt>
<dd>Filter function intervals. List with the set of
intervals for the filtering function values produced by the
<code>get_intervals_One_D</code> function.</dd>
<dt>filter_values</dt>
<dd>Vector obtained after applying the filtering
function to the input matrix, i.e, a vector with the filtering function
values for each included sample.</dd></dl>

Arguments

Samples in levels — samples_in_levels

<dl>

<dt>interval_data</dt>
<dd>Filter function intervals. List with the set of
intervals for the filtering function values produced by the
<code>get_intervals_One_D</code> function.</dd>


<dt>filter_values</dt>
<dd>Vector obtained after applying the filtering
function to the input matrix, i.e, a vector with the filtering function
values for each included sample.</dd>

</dl>

samples_in_levels: Samples in levels

Description

Usage

Value

Arguments