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Pieter Meysman
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2020 – today
- 2023
- [j25]Ceder Dens
, Kris Laukens
The pitfalls of negative data bias for the T-cell epitope specificity challenge. Nat. Mac. Intell. 5(10): 1060-1062 (2023) - 2022
- [j24]Danh Bui Thi
MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification. Appl. Intell. 52(3): 3090-3102 (2022) - [j23]Pieter Meysman
Simulations that capture antigen-antibody complexity. Nat. Comput. Sci. 2(12): 781-782 (2022) - 2021
- [j22]Pieter Moris
Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification. Briefings Bioinform. 22(4) (2021) - [j21]Sebastiaan Valkiers
ClusTCR: a python interface for rapid clustering of large sets of CDR3 sequences with unknown antigen specificity. Bioinform. 37(24): 4865-4867 (2021) - 2020
- [j20]Danh Bui Thi, Pieter Meysman
Clustering association rules to build beliefs and discover unexpected patterns. Appl. Intell. 50(6): 1943-1954 (2020) - [j19]Pieter Moris
MILES: a Java tool to extract node-specific enriched subgraphs in biomolecular networks. Bioinform. 36(6): 1978-1980 (2020)
2010 – 2019
- 2019
- [j18]Pieter Meysman
On the viability of unsupervised T-cell receptor sequence clustering for epitope preference. Bioinform. 35(9): 1461-1468 (2019) - [j17]Pieter Meysman
Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1496-1507 (2019) - 2018
- [j16]Aida Mrzic, Pieter Meysman
Grasping frequent subgraph mining for bioinformatics applications. BioData Min. 11(1): 20:1-20:24 (2018) - [j15]Charlie Beirnaert
speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification. PLoS Comput. Biol. 14(3) (2018) - 2017
- [j14]Kevin Titeca
sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets. Bioinform. 33(12): 1902-1904 (2017) - [j13]Bruno A. Gaëta, Javier De Las Rivas
Ten simple rules for forming a scientific professional society. PLoS Comput. Biol. 13(3) (2017) - 2016
- [j12]Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. BMC Bioinform. 17(S-3) (2016) - [j11]Marco Moretto
COLOMBOS v3.0: leveraging gene expression compendia for cross-species analyses. Nucleic Acids Res. 44(Database-Issue): 620-623 (2016) - 2015
- [j10]Stefan Naulaerts
A primer to frequent itemset mining for bioinformatics. Briefings Bioinform. 16(2): 216-231 (2015) - [j9]Pieter Meysman
Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns. BioData Min. 8: 4 (2015) - [j8]Margherita Francescatto
Highlights from the Third European International Society for Computational Biology (ISCB) Student Council Symposium 2014. BMC Bioinform. 16(S-3): A1 (2015) - [j7]Stefan Naulaerts
Mining the human proteome for conserved mechanisms. BMC Bioinform. 16(S-3): A6 (2015) - [c2]Tayena Hendrickx, Boris Cule, Pieter Meysman
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. PAKDD (2) 2015: 637-648 - 2014
- [j6]Qiang Fu, Ana Carolina Fierro, Pieter Meysman
MAGIC: access portal to a cross-platform gene expression compendium for maize. Bioinform. 30(9): 1316-1318 (2014) - [j5]Pieter Meysman
COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia. Nucleic Acids Res. 42(Database-Issue): 649-653 (2014) - [j4]Jeroen de Ridder
Soft Skills: An Important Asset Acquired from Organizing Regional Student Group Activities. PLoS Comput. Biol. 10(7) (2014) - [j3]Cheng Zhou, Pieter Meysman
Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 814-825 (2014) - 2013
- [c1]Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens, Bart Goethals
Mining spatially cohesive itemsets in protein molecular structures. BIOKDD 2013: 42-50 - 2011
- [j2]Hui Zhao
Query-based biclustering of gene expression data using Probabilistic Relational Models. BMC Bioinform. 12(S-1): S37 (2011) - [j1]Pieter Meysman
Use of structural DNA properties for the prediction of transcription-factor binding sites in Escherichia coli. Nucleic Acids Res. 39(2): 6 (2011)
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