Author

Mirte De Temmerman

Ghent UniversityORCID 0009-0008-5303-6417Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:snRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Boris VandemoorteleiD· 1 shared Vanessa VermeirsseniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperSystems Biology

Boris VandemoorteleORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Systems BiologybioRxivPreprintMar 3, 2026

Comparison of different computational frameworks for metabolic modeling from single-cell transcriptomics data in glioblastoma

Mirte De Temmerman, Boris Vandemoortele, Vanessa Vermeirssen

The paper compares three computational methods to infer metabolism from single-cell transcriptomics data in glioblastoma, finding tumor-associated macrophages as metabolically dominant.

DOI 10.64898/2026.02.28.706749

humansnRNA-seq

𝕏 PostBluesky