Thesis Details

Strojové učení v úloze predikce vlivu nukleotidového polymorfismu

Master's Thesis Student: Šalanda Ondřej Academic Year: 2014/2015 Supervisor: Bendl Jaroslav, Ing.
English title
Prediction of the Effect of Nucleotide Substitution Using Machine Learning
Language
Czech
Abstract

This thesis brings a new approach to the prediction of the effect of nucleotide polymorphism on human genome. The main goal is to create a new meta-classifier, which combines predictions of several already implemented software classifiers. The novelty of developed tool lies in using machine learning methods to find consensus over those tools, that would enhance accuracy and versatility of prediction. Final experiments show, that compared to the best integrated tool, the meta-classifier increases the area under ROC curve by 3,4 in average and normalized accuracy is improved by up to 7\,\%. The new classifying service is available at http://ll06.sci.muni.cz:6232/snpeffect/.

Keywords

Deoxyribonucleic acid, protein, mutation, polymorphism, prediction, training dataset, machine learning, ensemble learning

Department
Degree Programme
Information Technology, Field of Study Bioinformatics and Biocomputing
Files
Status
defended, grade A
Date
24 June 2015
Reviewer
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Šaloun Petr, doc. RNDr., Ph.D. (VŠB-TUO), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
ŠALANDA, Ondřej. Strojové učení v úloze predikce vlivu nukleotidového polymorfismu. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Bendl Jaroslav. Available from: https://www.fit.vut.cz/study/thesis/16983/
BibTeX
@mastersthesis{FITMT16983,
    author = "Ond\v{r}ej \v{S}alanda",
    type = "Master's thesis",
    title = "Strojov\'{e} u\v{c}en\'{i} v \'{u}loze predikce vlivu nukleotidov\'{e}ho polymorfismu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/16983/"
}
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