Author

Jens Uwe Loers

Ghent UniversityORCID 0000-0002-7329-1772Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Alice Carolyn McHardyiD· 2 shared Gülşah GabrieliD· 2 shared Thorsten R. Klingen· 2 shared Vanessa VermeirsseniD· 2 shared Boris VandemoorteleiD· 1 shared Frank KlawonniD· 1 shared Joke DeschildreiD· 1 shared Katleen De PreteriD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Alice Carolyn McHardyORCID

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4 papers

Recent·Most cited

Evaluation of single-sample network inference methods for precision oncology

Joke Deschildre, Boris Vandemoortele, Jens Uwe Loers, Katleen De Preter, Vanessa Vermeirssen

This study evaluates single-sample network inference methods for cancer subtyping using bulk RNA-seq data from cancer cell lines.

npj Systems Biology and Applications · Feb 15, 2024Peer-reviewedSystems Biology

SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs Clustering framework to analyze integrated multi-edge networks

Jens Uwe Loers, Vanessa Vermeirssen

SUBATOMIC clusters multi-omics networks into interpretable modules, identifies hypoxia-related modules in cancer, and provides functional insights for unannotated genes.

BMC Bioinformatics · Sep 5, 2022Peer-reviewedBioinformatics

Structures and functions linked to genome-wide adaptation of human influenza A viruses

Thorsten R. Klingen, Jens Uwe Loers, Stephanie Stanelle‐Bertram, Gülşah Gabriel, Alice Carolyn McHardy

The paper compares genome-wide adaptation of H3N2 and pH1N1 influenza A viruses, identifying regions under positive selection and linking them to host adaptation and drug resistance.

Scientific Reports · Apr 18, 2019Peer-reviewedBioinformatics

Sweep Dynamics (SD) plots: Computational identification of selective sweeps to monitor the adaptation of influenza A viruses

Thorsten R. Klingen, Susanne Reimering, Jens Uwe Loers, Kyra Mooren, Frank Klawonn, Thomas Krey, Gülşah Gabriel, Alice Carolyn McHardy

The paper introduces SD plots to identify selective sweeps in influenza A virus genomes, showing their use in tracking adaptive changes in pH1N1 and sH3N2 viruses.

Scientific Reports · Jan 4, 2018Peer-reviewedBioinformatics