Research Software

This is a list of research software developed by current or previous group members and students and released on a public repository. All listed software are released under an open-source license.

R Packages

Zobolas J, Bender A (2026) survdistr: Survival Distribution Container with Flexible Interpolation Methods. https://cran.r-project.org/package=survdistr
Romero-Becerra R (2025). SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies. https://cran.r-project.org/package=SynergyLMM
Zobolas J et al. (2025). mlr3proba: Probabilistic supervised learning and survival analysis in mlr3. https://github.com/mlr-org/mlr3proba
Zobolas J, Anne-Marie George (2024). fastVoteR: Efficient Voting Methods for Committee Selection. https://cran.r-project.org/package=fastVoteR

Python Packages

Lopez A (2025). iMML: a Python package for multi-modal learning with incomplete data. https://imml.readthedocs.io/
Szekeres L, Flobak Å, Zobolas J (2025). PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models. https://github.com/druglogics/pydruglogics

Web Apps

Romero-Becerra R (2025). SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies.
https://synergylmm.uiocloud.no/

Tutorials

Zobolas, J. (2025). Wrapper-based Ensemble Feature Selection. https://mlr-org.com/gallery/technical/2025-01-12-efs/

Zhao Z, Zobolas J (2024). Tutorial on survival modeling with applications to omics data.
https://ocbe-uio.github.io/survomics/survomics.html

Note: Software are listed in descending order of date, then alphabetically by surnames.