Karolina Smolinska

Genomic characterization of relapsed acute myeloid leukemia reveals novel putative therapeutic targets.

J. Komorowski, L. Cavelier, M. Höglund, 2021, Blood advances.

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

J. Komorowski, C. Wadelius, F. Barrenäs, 2022, Cancers.

R.ROSETTA: an interpretable machine learning framework

Jan Komorowski, Susanne Bornelöv, Mateusz Garbulowski, 2019, BMC Bioinformatics.

R.ROSETTA: an interpretable machine learning framework

Susanne Bornelöv, Mateusz Garbulowski, Nicholas Baltzer, 2019, bioRxiv.

Functional annotation of noncoding mutations in cancer

Husen M. Umer, J. Komorowski, C. Wadelius, 2021, Life Science Alliance.

Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder

L. Feuk, J. Komorowski, K. Diamanti, 2021, Frontiers in Genetics.

R.ROSETTA: an interpretable machine learning framework

L. Feuk, J. Komorowski, Aleksander Øhrn, 2019, BMC Bioinformatics.