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
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Romero-Becerra R (2025). SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies. https://cran.r-project.org/ |
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Zobolas J (2025). Probabilistic supervised learning and survival analysis in mlr3. https://github.com/mlr-org/ |
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Zobolas J (2024). Efficient Voting Methods for Committee Selection. https://github.com/bblodfon/ |
Python Packages
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Lopez A (2025). iMML: a Python package for multi-modal learning with incomplete data. https://imml.readthedocs.io/ |
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Szekeres L, Flobak Å, Zobolas J (2025). PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models. https://github.com/druglogics/pydruglogics |
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Web Apps
Romero-Becerra R (2025). SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies.
https://synergylmm.uiocloud.
https://synergylmm.uiocloud.
Guided Tutorials
Zhao Z, Zobolas J (2024). Tutorial on survival modeling with applications to omics data.
https://ocbe-uio.github.io/
https://ocbe-uio.github.io/
Note: Software are listed in descending order of date, then alphabetically by surnames.