Author

Sepideh Hagvall

University of Skövde

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Jane SynnergreniD· 1 shared Markus JohanssoniD· 1 shared Rasmus MagnussoniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Jane SynnergrenORCID

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1 paper

Recent·Most cited

Leveraging Neural Network Models for Drug Repurposing: A case study on Cardiac Hypertrophy

Rasmus Magnusson, Markus Johansson, Sepideh Hagvall, Jane Synnergren

This paper uses a deep learning model to identify potential drugs for cardiac hypertrophy by analyzing gene expression data and linking disease signals to known drug targets.

Scientific Reports · Sep 10, 2026Peer-reviewedBioinformatics