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Bioinformatics (Oxford, England)|January 7, 2020
LiPLike: towards gene regulatory network predictions of high certaintyRasmus Magnusson, Mika Gustafsson
BMC Bioinformatics|September 17, 2021
TFTenricher: a python toolbox for annotation enrichment analysis of transcription factor target genesRasmus Magnusson, Zelmina Lubovac-Pilav
NPJ Systems Biology and Applications|February 24, 2022
Deep neural network prediction of genome-wide transcriptome signatures - beyond the Black-boxRasmus Magnusson, Jesper N Tegnér, Mika Gustafsson
BMC Bioinformatics|February 10, 2021
ComHub: Community predictions of hubs in gene regulatory networksJulia Åkesson, Zelmina Lubovac-Pilav, Rasmus Magnusson, et al.
Bioscience Reports|December 18, 2016
Cross-talks via mTORC2 can explain enhanced activation in response to insulin in diabetic patientsRasmus Magnusson, Mika Gustafsson, Gunnar Cedersund, et al.
Biology of Sex Differences|July 27, 2026
Sex differences in microvascular patterns associated with low- and high-risk for cardiovascular diseaseElin Nyman, Rasmus Magnusson, Tomas Strömberg, et al.
Cytotherapy|May 22, 2026
AI-driven quality control of cell-based ATMPs: automated, accurate, and affordableRasmus Magnusson, Alice Hägg, Daniel Twohig, et al.
Patterns (New York, N.Y.)|November 21, 2024
Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modulesHendrik A de Weerd, Dimitri Guala, Mika Gustafsson, et al.
Nature Communications|February 11, 2026
The human metabolome and machine learning improves predictions of the post-mortem intervalRasmus Magnusson, Carl Söderberg, Liam J Ward, et al.
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