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Results: 6

1.

Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.

Meysman P, Zhou C, Cule B, Goethals B, Laukens K.

BioData Min. 2015 Jan 31;8:4. doi: 10.1186/s13040-015-0038-4. eCollection 2015.

2.

Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques.

Vu TN, Mrzic A, Valkenborg D, Maes E, Lemière F, Goethals B, Laukens K.

Proteome Sci. 2014 Nov 18;12(1):54. doi: 10.1186/s12953-014-0054-1. eCollection 2014.

3.

Efficient reduction of candidate matches in peptide spectrum library searching using the top k most intense peaks.

Vu TN, Bittremieux W, Valkenborg D, Goethals B, Lemière F, Laukens K.

J Proteome Res. 2014 Sep 5;13(9):4175-83. doi: 10.1021/pr401269z. Epub 2014 Jul 24.

PMID:
25004400
4.

A primer to frequent itemset mining for bioinformatics.

Naulaerts S, Meysman P, Bittremieux W, Vu TN, Vanden Berghe W, Goethals B, Laukens K.

Brief Bioinform. 2015 Mar;16(2):216-31. doi: 10.1093/bib/bbt074. Epub 2013 Oct 26.

5.

An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data.

Vu TN, Valkenborg D, Smets K, Verwaest KA, Dommisse R, Lemière F, Verschoren A, Goethals B, Laukens K.

BMC Bioinformatics. 2011 Oct 20;12:405. doi: 10.1186/1471-2105-12-405.

6.

BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation.

Liekens AM, De Knijf J, Daelemans W, Goethals B, De Rijk P, Del-Favero J.

Genome Biol. 2011 Jun 22;12(6):R57. doi: 10.1186/gb-2011-12-6-r57.

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