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Julia Åkesson
Observed name:
Åkesson, Julia
Institution:
Linköping University
Observed institutions:
Linköping University,
University of Skövde
ORCID:
0000-0002-9276-0546
Observed ORCID:
0000-0002-9276-0546
OpenAlex ID:
A5010675885
Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis
2023
·
Julia Åkesson
, Sara Hojjati
, et al.
·
Nature Communications
·
105
PDF
ComHub: Community predictions of hubs in gene regulatory networks
2021
·
Julia Åkesson
, Zelmina Lubovac-Pilav
, et al.
·
BMC Bioinformatics
·
24
PDF
MODifieR: an Ensemble R Package for Inference of Disease Modules from Transcriptomics Networks
2020
·
Hendrik A de Weerd
, Tejaswi V S Badam
, et al.
·
Bioinformatics
·
23
PDF
Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease
2025
·
David Martínez-Enguita
, Thomas Hillerton
, et al.
·
Frontiers in Aging
·
5
PDF
MODalyseR—a novel software for inference of disease module hub regulators identified a putative multiple sclerosis regulator supported by independent eQTL data
2022
·
Hendrik A de Weerd
, Julia Åkesson
, et al.
·
Bioinformatics Advances
·
5
PDF
Epigenetic analyses suggest different pathways during pregnancy for development of type 1 diabetes in children with high versus low‐neutral human leukocyte antigen‐risk
2026
·
Shamila D. Alipoor
, Angelica Ahrens
, et al.
·
Journal of Internal Medicine
·
1
Protein-protein interaction priors shape biologically coherent latent spaces for causally concordant cross-omic translation
2025
·
David Martínez-Enguita
, Thomas Hillerton
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
1
PDF
Proximity-extension dementia-panel in 41 brain disorders: a meta-analysis
2026
·
Elena-Raluca Blujdea
, Yanaika Hok-A-Hin
, et al.
·
Research Square
PDF
Epigenetic–proteomic network crosstalk at birth across HLA risk groups in type 1 diabetes
2026
·
Shamila D. Alipoor
, Angelica Ahrens
, et al.
·
Frontiers in Immunology
PDF
System-level health profiling from blood DNA methylation with explainable deep learning
2025
·
David Martínez-Enguita
, Thomas Hillerton
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
PDF
Precise and interpretable neural networks reveal epigenetic signatures of aging in youth across health and disease
2024
·
David Martínez-Enguita
, Thomas Hillerton
, et al.
·
Research Square
Network-based biomarker discovery for multiple sclerosis
2023
·
Julia Åkesson
·
Linköping studies in science and technology. Dissertations
PDF
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Works count:
16
Citation count:
164
H-index:
5
I10-index:
3
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