MCL explorer

This application is designed to aid researchers in inspecting and classifying CONNECTOR clusters for Minimal Residual Disease in Mantle Cell Lymphoma.

1. Clustering Exploration: Visualize and explore the 'FIL-MCL0208' dataset, which contains key information about connector clusters.

2. Classification Exploration: Classify data from the 'MCL Younger' dataset based on clusters identified in the 'FIL-MCL0208' analysis.

3. Custom Classification: Upload and classify your own dataset to apply insights gained from the 'FIL-MCL0208' clusters to new data.

Getting started

To install the package directly from GitHub, use the following command in R:

if (!require("devtools")) install.packages("devtools")
devtools::install_github("qBioTurin/MCLexplorer", dependencies=TRUE)

Dependencies

To run the application, it is necessary to install the following version of the connector package:

devtools::install_github("qBioTurin/connector", ref="Classification", dependencies=TRUE)

For more information on the connector methodology, please refer to:

Simone Pernice, et al. 'CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system', Bioinformatics (2023)

How to run

Once installed, you can launch the Shiny application with:

library(MCLexplorer)
MCLexplorer::mclexplorer.run()

Dependecies

Since the R package "ggmosaic" was archived on 2025-11-10, we suggest to install it from its github:

install.packages("devtools")
devtools::install_github("haleyjeppson/ggmosaic")