Transcriptomic Classification using Mixture of Normal Distributions with splitTypeR

The splitTypeR package provides an automated statistical framework to classify heterogeneous biological samples based on gene signature lists, effectively isolating the signature-positive samples. This classification method is designed for bulk transcriptomic datasets.

Citing

If you use this package for a publication, we would ask you to cite the following:

Deschênes A, Belleau P, Tuveson DA (2026). splitTypeR: Transcriptomic Classification using Mixture of Normal Distributions. R package version 0.99.9, https://github.com/adeschen/splitTypeR.

Authors

Astrid Deschênes, Pascal Belleau and David A. Tuveson

Maintainer

Astrid Deschênes

License

This package and the underlying splitTypeR code are distributed under the Artistic license 2.0. You are free to use and redistribute this software.

For more information on Artistic 2.0 License see http://opensource.org/licenses/Artistic-2.0

Bugs/Feature requests

If you have any bugs or feature requests, let us know. Thanks!