Query-based biclustering of gene expression data using Probabilistic Relational Models. - Hui Zhao; Lore Cloots; Tim Van den Bulcke; Yan Wu; Riet De Smet; Valerie Storms; Pieter Meysman; Kristof Engelen; Kathleen Marchal (BMC Bioinform., 2011)

Use of structural DNA properties for the prediction of transcription-factor binding sites in Escherichia coli. - Pieter Meysman; Thanh Hai Dang; Kris Laukens; Riet De Smet; Yan Wu; Kathleen Marchal; Kristof Engelen (Nucleic Acids Res., 2011)

Mining spatially cohesive itemsets in protein molecular structures. - Cheng Zhou; Pieter Meysman; Boris Cule; Kris Laukens; Bart Goethals (BIOKDD, 2013)

MAGIC: access portal to a cross-platform gene expression compendium for maize. - Qiang Fu 009; Ana Carolina Fierro; Pieter Meysman; Aminael Sánchez-Rodríguez; Klaas Vandepoele; Kathleen Marchal; Kristof Engelen (Bioinform., 2014)

COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia. - Pieter Meysman; Paolo Sonego; Luca Bianco; Qiang Fu 009; Daniela Ledezma-Tejeida; Socorro Gama-Castro; Veerle Liebens; Jan Michiels; Kris Laukens; Kathleen Marchal; Julio Collado-Vides; Kristof Engelen (Nucleic Acids Res., 2014)

Soft Skills: An Important Asset Acquired from Organizing Regional Student Group Activities. - Jeroen de Ridder; Pieter Meysman; Olugbenga Oluseun Oluwagbemi; Thomas Abeel (PLoS Comput. Biol., 2014)

Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures. - Cheng Zhou; Pieter Meysman; Boris Cule; Kris Laukens; Bart Goethals (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. - Tayena Hendrickx; Boris Cule; Pieter Meysman; Stefan Naulaerts; Kris Laukens; Bart Goethals (PAKDD (2), 2015)

A primer to frequent itemset mining for bioinformatics. - Stefan Naulaerts; Pieter Meysman; Wout Bittremieux; Trung-Nghia Vu; Wim Vanden Berghe; Bart Goethals; Kris Laukens (Briefings Bioinform., 2015)

Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns. - Pieter Meysman; Cheng Zhou; Boris Cule; Bart Goethals; Kris Laukens (BioData Min., 2015)

Highlights from the Third European International Society for Computational Biology (ISCB) Student Council Symposium 2014. - Margherita Francescatto; Susanne M. A. Hermans; Sepideh Babaei; Esmeralda Vicedo; Alexandre Borrel; Pieter Meysman (BMC Bioinform., 2015)

Mining the human proteome for conserved mechanisms. - Stefan Naulaerts; Pieter Meysman; Wim Vanden Berghe; Kris Laukens (BMC Bioinform., 2015)

COLOMBOS v3.0: leveraging gene expression compendia for cross-species analyses. - Marco Moretto; Paolo Sonego; Nicolas Dierckxsens; Matteo Brilli; Luca Bianco; Daniela Ledezma-Tejeida; Socorro Gama-Castro; Marco Galardini; Chiara Romualdi; Kris Laukens; Julio Collado-Vides; Pieter Meysman; et al. (Nucleic Acids Res., 2016)

Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. - Katie Wilkins; Mehedi Hassan; Margherita Francescatto; Jakob B. Jespersen; R. Gonzalo Parra; Bart Cuypers; Dan F. DeBlasio; Alexander Junge; Anupama Jigisha; Farzana Rahman; Griet Laenen; Sander Willems; et al. (BMC Bioinform., 2016)

sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets. - Kevin Titeca; Pieter Meysman; Kris Laukens; Lennart Martens; Jan Tavernier; Sven Eyckerman (Bioinform., 2017)

Ten simple rules for forming a scientific professional society. - Bruno A. Gaëta; Javier De Las Rivas; Paul Horton; Pieter Meysman; Nicola J. Mulder; Paolo Romano 001; Lonnie R. Welch (PLoS Comput. Biol., 2017)

Grasping frequent subgraph mining for bioinformatics applications. - Aida Mrzic; Pieter Meysman; Wout Bittremieux; Pieter Moris; Boris Cule; Bart Goethals; Kris Laukens (BioData Min., 2018)

speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification. - Charlie Beirnaert; Pieter Meysman; Trung-Nghia Vu; Nina Hermans; Sandra Apers; Luc Pieters; Adrian Covaci; Kris Laukens (PLoS Comput. Biol., 2018)

On the viability of unsupervised T-cell receptor sequence clustering for epitope preference. - Pieter Meysman; Nicolas De Neuter; Sofie Gielis; Danh Bui Thi; Benson Ogunjimi; Kris Laukens (Bioinform., 2019)

Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph. - Pieter Meysman; Yvan Saeys; Ehsan Sabaghian; Wout Bittremieux; Yves Van de Peer; Bart Goethals; Kris Laukens (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Clustering association rules to build beliefs and discover unexpected patterns. - Danh Bui Thi; Pieter Meysman; Kris Laukens (Appl. Intell., 2020)

MILES: a Java tool to extract node-specific enriched subgraphs in biomolecular networks. - Pieter Moris; Danh Bui Thi; Kris Laukens; Pieter Meysman (Bioinform., 2020)

Current challenges for unseen-epitope 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 (Briefings Bioinform., 2021)

ClusTCR: a python interface for rapid clustering of large sets of CDR3 sequences with unknown antigen specificity. - Sebastiaan Valkiers; Marc van Houcke; Kris Laukens; Pieter Meysman (Bioinform., 2021)

MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification. - Danh Bui Thi; Pieter Meysman; Kris Laukens (Appl. Intell., 2022)

Simulations that capture antigen-antibody complexity. - Pieter Meysman (Nat. Comput. Sci., 2022)

The pitfalls of negative data bias for the T-cell epitope specificity challenge. - Ceder Dens; Kris Laukens; Wout Bittremieux; Pieter Meysman (Nat. Mac. Intell., 2023)

tcrBLOSUM: an amino acid substitution matrix for sensitive alignment of distant epitope-specific TCRs. - Anna Postovskaya; Koen Vercauteren; Pieter Meysman; Kris Laukens (Briefings Bioinform., 2024)