This application is designed to aid researchers in inspecting and classifying CONNECTOR clusters for Minimal Residual Disease in Mantle Cell Lymphoma.
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Clustering Exploration: Visualize and explore the 'FIL-MCL0208' dataset, which contains key information about connector clusters.
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Classification Exploration: Classify data from the 'MCL Younger' dataset based on clusters identified in the 'FIL-MCL0208' analysis.
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Custom Classification: Upload and classify your own dataset to apply insights gained from the 'FIL-MCL0208' clusters to new data.
For full methodological details and results, please refer to and cite:
Cordero, F., Ferrero, S., Pernice, S., Genuardi, E., Volpatto, D., Sirovich, R., Civita, A.M., Evangelista, A., Ragaini, S., Di Rocco, A., Re, A., Stefoni, V., Cavallo, F., Boccomini, C., Balzarotti, M., Zilioli, V.R., Gomes da Silva, M., Arcaini, L., Celli, M., Zaccaria, G.M., Tortarolo, D., Beccuti, M., Hoster, E., Pott, C., Macintyre, E., Hermine, O., Dreyling, M. and Ladetto, M. (2026).
Dissecting minimal residual disease dynamics to improve outcome prediction in mantle cell lymphoma: Data from the Fondazione Italiana Linfomi (FIL)-MCL0208 clinical trial.
HemaSphere, 10: e70375.
https://doi.org/10.1002/hem3.70375
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)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:
Once installed, you can launch the Shiny application with:
library(MCLexplorer)
MCLexplorer::mclexplorer.run()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")
