SIS_combo

SMAHP (pronounced as SOO-MAP) is a novel multi-omics framework for causal mediation analysis of high-dimensional proteogenomic data with survival outcomes. The full methodological details can be found in our recent preprint by Ahn S et al. (2025) <doi:10.48550/arXiv.2503.08606>.

Weijia Fu

SMAHP

Survival Mediation Analysis of High-Dimensional Proteogenomic
Data

Seungjun Ahn

Zhigang Li

SIS_combo function

<dl><dt>X</dt>
<dd>An n by p matrix of exposures.</dd>
<dt>M</dt>
<dd>An n by p matrix of mediators.</dd>
<dt>C</dt>
<dd>An n by p matrix of covariates.</dd>
<dt>time</dt>
<dd>A vector of survival time of samples.</dd>
<dt>status</dt>
<dd>A vector of status indicator: 0=alive, 1=dead.</dd>
<dt>p_adjust_option</dt>
<dd>The method for multiple correction. Option include q-value, holm, hochberg, hommel, bonferroni, BH, BY,
and fdr. Default is BH.</dd>
<dt>thres</dt>
<dd>Threshold for determining significance.</dd></dl>

Arguments

SIS combo — SIS_combo

<dl>

<dt>X</dt>
<dd>An n by p matrix of exposures.</dd>


<dt>M</dt>
<dd>An n by p matrix of mediators.</dd>


<dt>C</dt>
<dd>An n by p matrix of covariates.</dd>


<dt>time</dt>
<dd>A vector of survival time of samples.</dd>


<dt>status</dt>
<dd>A vector of status indicator: 0=alive, 1=dead.</dd>


<dt>p_adjust_option</dt>
<dd>The method for multiple correction. Option include q-value, holm, hochberg, hommel, bonferroni, BH, BY,
and fdr. Default is BH.</dd>


<dt>thres</dt>
<dd>Threshold for determining significance.</dd>

</dl>

SIS_combo: SIS combo

Description

Usage

Value

Arguments

Examples