msi_pre: Prediction of microsatellite instability

In WangX-Lab/PreMSIm: Prediction of microsatellite instability (MSI) based on gene expression profiles in cancer

Prediction of microsatellite instability

Description

msi_pre Prediction of MSI from gene expression profiling data.

Usage

msi_pre(input_data)

Arguments

input_data

Tumor samples to be predicted. (Note: Gene expression values of the samples need to be normalized (scaling to [0, 1] range) by the function data_pre first)

Details

One or multiple tumor samples to be predicted as MSI or non-MSI based on their expression profiles of the gene panel.

Value

A dataframe with 2 columns:

Sample_ID	Tumor samples to be predicted.
MSI_status	Prediction results ("1" indicates MSI-high, and "0" MSI-low/microsatellite stability).

Author(s)

Lin Li <[e-mail]>, Xiaosheng Wang <[e-mail]>

Examples

path = system.file("extdata", "example.txt", package = "PreMSIm", mustWork = TRUE)
input_data = data_pre(path, type = "ID")
msi_pre(input_data)

WangX-Lab/PreMSIm documentation built on Oct. 16, 2024, 1:40 a.m.