Author

Nicolas De Neuter

University of AntwerpORCID 0000-0002-6011-6457Unclaimed 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

Approach:machine learning (classical)· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein sequence· 1

Frequent Co-Authors

Benson OgunjimiiD· 3 shared Kris LaukensiD· 3 shared Pieter MeysmaniD· 3 shared Sofie GielisiD· 3 shared Pieter MorisiD· 2 shared Wout BittremieuxiD· 2 shared Anna PostovskayaiD· 1 shared Danh Bui-ThiiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 32 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Benson OgunjimiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedNov 13, 2020

Current challenges for epitope-agnostic TCR interaction prediction and a new perspective derived from image classification

Pieter Moris, Joey De Pauw, Anna Postovskaya…·Pieter Meysman

The paper identifies challenges in predicting TCR-epitope interactions and introduces ImRex, a feature representation method that improves model performance for similar epitopes.

188 citationstop 2%

statistical modelmachine learning (classical)

𝕏 PostBluesky

BioinformaticsFrontiers in ImmunologyPeer-reviewedNov 29, 2019

TCRex: detection of enriched T cell epitope specificity in full T cell receptor sequence repertoires

Sofie Gielis, Pieter Moris, Wout Bittremieux…·Pieter Meysman

TCRex identifies epitope-specific T cell receptor sequences in repertoires using machine learning and statistical analysis, validated on vaccine and infectious disease datasets.

198 citationstop 4%

machine learning (classical)cell type annotation

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 20, 2018

The workings and failings of clustering T-cell receptor beta-chain sequences without a known epitope preference

Pieter Meysman, Nicolas De Neuter, Sofie Gielis…·Kris Laukens

The paper evaluates unsupervised clustering methods for T-cell receptor sequences and finds distinct clusters that target the same epitopes.

68 citations

humanprotein sequence

𝕏 PostBluesky