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Grasping frequent subgraph mining for bioinformatics applications.
Mrzic A, Meysman P, Bittremieux W, Moris P, Cule B, Goethals B, Laukens K. Mrzic A, et al. Among authors: goethals b. BioData Min. 2018 Sep 3;11:20. doi: 10.1186/s13040-018-0181-9. eCollection 2018. BioData Min. 2018. PMID: 30202444 Free PMC article. Review.
Practical Approaches for Mining Frequent Patterns in Molecular Datasets.
Naulaerts S, Moens S, Engelen K, Berghe WV, Goethals B, Laukens K, Meysman P. Naulaerts S, et al. Among authors: goethals b. Bioinform Biol Insights. 2016 May 2;10:37-47. doi: 10.4137/BBI.S38419. eCollection 2016. Bioinform Biol Insights. 2016. PMID: 27168722 Free PMC article. Review.
A primer to frequent itemset mining for bioinformatics.
Naulaerts S, Meysman P, Bittremieux W, Vu TN, Vanden Berghe W, Goethals B, Laukens K. Naulaerts S, et al. Among authors: goethals b. Brief Bioinform. 2015 Mar;16(2):216-31. doi: 10.1093/bib/bbt074. Epub 2013 Oct 26. Brief Bioinform. 2015. PMID: 24162173 Free PMC article. Review.
Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph.
Meysman P, Saeys Y, Sabaghian E, Bittremieux W, Van de Peer Y, Goethals B, Laukens K. Meysman P, et al. Among authors: goethals b. IEEE/ACM Trans Comput Biol Bioinform. 2019 Sep-Oct;16(5):1496-1507. doi: 10.1109/TCBB.2016.2576440. Epub 2016 Jun 7. IEEE/ACM Trans Comput Biol Bioinform. 2019. PMID: 27295680
12 results