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Items: 5

1.

A machine learning based framework to identify and classify long terminal repeat retrotransposons.

Schietgat L, Vens C, Cerri R, Fischer CN, Costa E, Ramon J, Carareto CMA, Blockeel H.

PLoS Comput Biol. 2018 Apr 23;14(4):e1006097. doi: 10.1371/journal.pcbi.1006097. eCollection 2018 Apr.

2.

Predicting human olfactory perception from chemical features of odor molecules.

Keller A, Gerkin RC, Guan Y, Dhurandhar A, Turu G, Szalai B, Mainland JD, Ihara Y, Yu CW, Wolfinger R, Vens C, Schietgat L, De Grave K, Norel R; DREAM Olfaction Prediction Consortium, Stolovitzky G, Cecchi GA, Vosshall LB, Meyer P.

Science. 2017 Feb 24;355(6327):820-826. doi: 10.1126/science.aal2014. Epub 2017 Feb 20.

3.

Learning HMMs for nucleotide sequences from amino acid alignments.

Fischer CN, Carareto CM, dos Santos RA, Cerri R, Costa E, Schietgat L, Vens C.

Bioinformatics. 2015 Jun 1;31(11):1836-8. doi: 10.1093/bioinformatics/btv054. Epub 2015 Jan 31.

PMID:
25638811
4.

Predicting tryptic cleavage from proteomics data using decision tree ensembles.

Fannes T, Vandermarliere E, Schietgat L, Degroeve S, Martens L, Ramon J.

J Proteome Res. 2013 May 3;12(5):2253-9. doi: 10.1021/pr4001114. Epub 2013 Apr 4.

PMID:
23517142
5.

Predicting gene function using hierarchical multi-label decision tree ensembles.

Schietgat L, Vens C, Struyf J, Blockeel H, Kocev D, Dzeroski S.

BMC Bioinformatics. 2010 Jan 2;11:2. doi: 10.1186/1471-2105-11-2.

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