data_sig

<p>The `data_sig` represents the sample feature matrix, where rows correspond to samples, and columns correspond to features.</p>

datasets

Immunotherapy has revolutionized cancer treatment, but predicting patient
response remains challenging. Here, we presented Intelligent Predicting
Response to cancer Immunotherapy through Systematic Modeling (iPRISM), a
novel network-based model that integrates multiple data types to predict
immunotherapy outcomes. It incorporates gene expression, biological
functional network, tumor microenvironment characteristics, immune-related
pathways, and clinical data to provide a comprehensive view of factors
influencing immunotherapy efficacy. By identifying key genetic and
immunological factors, it provides an insight for more personalized
treatment strategies and combination therapies to overcome resistance
mechanisms.

Junwei Han

iPRISM

Intelligent Predicting Response to Cancer Immunotherapy Through
Systematic Modeling

Yinchun Su

Siyuan Li

data_sig function

<p>An object of class <code>matrix</code> (inherits from <code>array</code>) with 121 rows and 31 columns.</p>

data_sig: data_sig

Description

Usage

Arguments

Format

Examples