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Kris Laukens
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2020 – today
- 2024
- [j28]Danh Bui Thi, Youzhong Liu, Jennifer L. Lippens, Kris Laukens, Thomas De Vijlder:
TransExION: a transformer based explainable similarity metric for comparing IONS in tandem mass spectrometry. J. Cheminformatics 16(1): 61 (2024) - [j27]Issar Arab
, Kristof Egghe, Kris Laukens, Ke Chen, Khaled H. Barakat
Benchmarking of Small Molecule Feature Representations for hERG, Nav1.5, and Cav1.2 Cardiotoxicity Prediction. J. Chem. Inf. Model. 64(7): 2515-2527 (2024) - [j26]Issar Arab
Semisupervised Learning to Boost hERG, Nav1.5, and Cav1.2 Cardiac Ion Channel Toxicity Prediction by Mining a Large Unlabeled Small Molecule Data Set. J. Chem. Inf. Model. 64(16): 6410-6420 (2024) - 2023
- [j25]Ceder Dens
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]Lennert Verboven
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis. BMC Medical Informatics Decis. Mak. 22(1): 56 (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]Ajay Anand Kumar, Lut Van Laer, Maaike Alaerts, Amin Ardeshirdavani
pBRIT: gene prioritization by correlating functional and phenotypic annotations through integrative data fusion. Bioinform. 34(13): 2254-2262 (2018) - [j14]Charlie Beirnaert
speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification. PLoS Comput. Biol. 14(3) (2018) - 2017
- [j13]Kevin Titeca
sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets. Bioinform. 33(12): 1902-1904 (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]Stefan Naulaerts
Mining the human proteome for conserved mechanisms. BMC Bioinform. 16(S-3): A6 (2015) - [c3]Tayena Hendrickx, Boris Cule, Pieter Meysman
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. PAKDD (2) 2015: 637-648 - 2014
- [j7]Pieter Meysman
COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia. Nucleic Acids Res. 42(Database-Issue): 649-653 (2014) - [j6]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
- [c2]Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens, Bart Goethals
Mining spatially cohesive itemsets in protein molecular structures. BIOKDD 2013: 42-50 - 2012
- [c1]Dong Do Duc, Huy Q. Dinh, Thanh Hai Dang, Kris Laukens
AcoSeeD: An Ant Colony Optimization for Finding Optimal Spaced Seeds in Biological Sequence Search. ANTS 2012: 204-211 - 2011
- [j5]Trung-Nghia Vu
An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. BMC Bioinform. 12: 405 (2011) - [j4]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) - 2010
- [j3]Kris Laukens
Flexible network reconstruction from relational databases with Cytoscape and CytoSQL. BMC Bioinform. 11: 360 (2010)
2000 – 2009
- 2008
- [j2]Thanh Hai Dang, Koenraad Van Leemput, Alain Verschoren, Kris Laukens
Prediction of kinase-specific phosphorylation sites using conditional random fields. Bioinform. 24(24): 2857-2864 (2008) - 2006
- [j1]Kris Laukens
Integration of gel-based proteome data with pProRep. Bioinform. 22(22): 2838-2840 (2006)
Coauthor Index
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