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R.ROSETTA: an interpretable machine learning framework.
Garbulowski M, Diamanti K, Smolińska K, Baltzer N, Stoll P, Bornelöv S, Øhrn A, Feuk L, Komorowski J. Garbulowski M, et al. BMC Bioinformatics. 2021 Mar 6;22(1):110. doi: 10.1186/s12859-021-04049-z. BMC Bioinformatics. 2021. PMID: 33676405 Free PMC article.
Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment.
Garbulowski M, Smolinska K, Çabuk U, Yones SA, Celli L, Yaz EN, Barrenäs F, Diamanti K, Wadelius C, Komorowski J. Garbulowski M, et al. Cancers (Basel). 2022 Feb 17;14(4):1014. doi: 10.3390/cancers14041014. Cancers (Basel). 2022. PMID: 35205761 Free PMC article.
Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression.
Stratmann S, Yones SA, Garbulowski M, Sun J, Skaftason A, Mayrhofer M, Norgren N, Herlin MK, Sundström C, Eriksson A, Höglund M, Palle J, Abrahamsson J, Jahnukainen K, Munthe-Kaas MC, Zeller B, Tamm KP, Cavelier L, Komorowski J, Holmfeldt L. Stratmann S, et al. Among authors: garbulowski m. Blood Adv. 2022 Jan 11;6(1):152-164. doi: 10.1182/bloodadvances.2021004962. Blood Adv. 2022. PMID: 34619772 Free PMC article.