Author

Anna Postovskaya

University of AntwerpORCID 0000-0002-0838-0728Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Pieter MeysmaniD· 3 shared Alexandra VujkoviciD· 2 shared Benson OgunjimiiD· 2 shared Kris LaukensiD· 2 shared Aleksandra M. WalczakiD· 1 shared Alessandro Montemurro· 1 shared Anna WeberiD· 1 shared Anne EugsteriD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Pieter MeysmanORCID

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3 papers

Recent·Most cited

Leveraging T-cell receptor - epitope recognition models to disentangle unique and cross-reactive T-cell response to SARS-CoV-2 during COVID-19 progression/resolution

Anna Postovskaya, Alexandra Vujkovic, Tessa de Block, Lida van Petersen, Maartje Van Frankenhuijsen, Isabel Brosius, Emmanuel Bottieau, Christophe Van Dijck, Caroline Theunissen, Sabrina H. van Ierssel, Erika Vlieghe, Esther Bartholomeus, Kerry A. Mullan, Wim J. Adriaensen, Guido L. Vanham, , Pieter Meysman

The paper uses TCR-epitope recognition models to analyze CD8+ T-cell responses in COVID-19 patients, finding that non-critical patients develop unique SARS-CoV-2-specific T-cell responses not seen in critical patients.

Frontiers in Immunology · May 31, 2023Peer-reviewedBioinformatics

Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report

Pieter Meysman, Justin Barton, Barbara Bravi, Liel Cohen-Lavi, Vadim K Karnaukhov, Elias Lilleskov, Alessandro Montemurro, Morten Nielsen, Thierry Mora, Paul Pereira, Anna Postovskaya, María Rodríguez Martínez, Jorge Fernández-de-Cossio-Díaz, Alexandra Vujkovic, Aleksandra M. Walczak, , Virag Sharma

The paper benchmarks 23 TCR-epitope prediction models, finding that using paired-chain alpha-beta and CDR1/2/V/J data improves performance, and simple distance-based methods can be competitive.

ImmunoInformatics · Feb 3, 2023Peer-reviewedBioinformatics

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

Pieter Moris, Joey De Pauw, Anna Postovskaya, Sofie Gielis, Nicolas De Neuter, Wout Bittremieux, Benson Ogunjimi, Kris Laukens, 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.

Briefings in Bioinformatics · Nov 13, 2020Peer-reviewedBioinformatics