Rasmus Magnusson

发表

Cross-talks via mTORC2 can explain enhanced activation in response to insulin in diabetic patients

Gunnar Cedersund, Mika Gustafsson, Rasmus Magnusson, 2016, Bioscience reports.

A validated strategy to infer protein biomarkers from RNA-Seq by combining multiple mRNA splice variants and time-delay

Colm E. Nestor, J. Tegnér, C. Altafini, 2020 .

On the prediction of protein abundance from RNA

Colm E. Nestor, J. Tegnér, C. Altafini, 2019, bioRxiv.

RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases

Colm E. Nestor, J. Tegnér, C. Altafini, 2021, Frontiers in Molecular Biosciences.

Robust Community Predictions of Hubs in Gene Regulatory Networks

M. Gustafsson, Rasmus Magnusson, 2022 .

LiPLike: towards gene regulatory network predictions of high certainty

Mika Gustafsson, Rasmus Magnusson, M. Gustafsson, 2019, bioRxiv.

Deep neural network prediction of genome-wide transcriptome signatures – beyond the Black-box

J. Tegnér, M. Gustafsson, Rasmus Magnusson, 2022, npj Systems Biology and Applications.

Deep neural network prediction of genome-wide transcriptome signatures – beyond the Black-box

J. Tegnér, M. Gustafsson, Rasmus Magnusson, 2022, npj Systems Biology and Applications.

White-box Deep Neural Network Prediction of Genome-Wide Transcriptome Signatures

J. Tegnér, M. Gustafsson, Rasmus Magnusson, 2021, bioRxiv.

Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios

John D. Kelleher, L. Milani, M. Gustafsson, 2021, NeuroImage: Clinical.

Progesterone Dampens Immune Responses in In Vitro Activated CD4+ T Cells and Affects Genes Associated With Autoimmune Diseases That Improve During Pregnancy

M. Gustafsson, Rasmus Magnusson, J. Ernerudh, 2021, Frontiers in Immunology.

Progesterone specifically dampens disease-associated TH1- and TH17-related immune responses during T cell activation in vitro

M. Gustafsson, Rasmus Magnusson, J. Ernerudh, 2020 .

ComHub: Community predictions of hubs in gene regulatory networks

Mika Gustafsson, Rasmus Magnusson, Julia Akesson, 2019, BMC Bioinformatics.

LASSIM—A network inference toolbox for genome-wide mechanistic modeling

Huan Zhang, Rebecka Jörnsten, Gunnar Cedersund, 2017, bioRxiv.

LASSIM - a network inference toolbox for genome-wide mechanistic modeling

Huan Zhang, Mika Gustafsson, Torbjörn E. M. Nordling, 2017, bioRxiv.

LiPLike: towards gene regulatory network predictions of high certainty

Mika Gustafsson, Rasmus Magnusson, M. Gustafsson, 2020, Bioinformatics.

Deep neural network prediction of genome-wide transcriptome signatures – beyond the Black-box

J. Tegnér, M. Gustafsson, Rasmus Magnusson, 2022, NPJ Systems Biology and Applications.

Representational Learning from Healthy Multi-Tissue Human RNA-seq Data such that Latent Space Arithmetics Extracts Disease Modules

Zelmina Lubovac-Pilav, Rasmus Magnusson, Dimitri Guala, 2023, bioRxiv.