Pieter Meysman
Orcid: 0000-0001-5903-633X
According to our database1,
Pieter Meysman
authored at least 27 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Nat. Mac. Intell., October, 2023
2022
MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification.
Appl. Intell., 2022
2021
ClusTCR: a python interface for rapid clustering of large sets of CDR3 sequences with unknown antigen specificity.
Bioinform., 2021
Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification.
Briefings Bioinform., 2021
2020
MILES: a Java tool to extract node-specific enriched subgraphs in biomolecular networks.
Bioinform., 2020
Appl. Intell., 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
On the viability of unsupervised T-cell receptor sequence clustering for epitope preference.
Bioinform., 2019
2018
speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification.
PLoS Comput. Biol., 2018
BioData Min., 2018
2017
PLoS Comput. Biol., 2017
sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets.
Bioinform., 2017
2016
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015.
BMC Bioinform., February, 2016
Nucleic Acids Res., 2016
2015
Highlights from the Third European International Society for Computational Biology (ISCB) Student Council Symposium 2014.
BMC Bioinform., 2015
Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.
BioData Min., 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Soft Skills: An Important Asset Acquired from Organizing Regional Student Group Activities.
PLoS Comput. Biol., 2014
Nucleic Acids Res., 2014
Bioinform., 2014
2013
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013
2011
Use of structural DNA properties for the prediction of transcription-factor binding sites in <i>Escherichia coli</i>.
Nucleic Acids Res., 2011
Query-based biclustering of gene expression data using Probabilistic Relational Models.
BMC Bioinform., 2011