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Tool for Classification of Lifestyle Traits Based on Metagenomic Data from the Large Intestine
Kubica, Jan ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
This thesis deals with analysis of human microbiome using metagenomic data from large intestine. The main focus is placed on bacteria composition in a sample on different taxonomic levels regarding the lifestyle traits of an individual. For this purpose, a tool for classification of several attributes was created. It considers attributes like diet type and eating habits (vegetarian, vegan, omnivore), gluten and lactose intolerance, body mass index, age or sex. From range of machine learning perspectives considering K Nearest Neighbours (kNN), Random Forest (RF) and Support Vector Machines (SVM) were used. Datasets for training and final evaluation of the classifier were taken from American Gut project. The thesis also focuses on particular problems with metagenomic datasets like its multidimensionality, sparsity, compositional character and class imbalance.
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Selected issues in technological realization of European data protection
Kubica, Jan ; Navrátil, Petr (referee)
This thesis focuses on the legal regulation of selected aspects of the personal data protection at the European level. Fuelled by the technological progress, this area of legal regulation is becoming increasingly important, as the usage of personal data can be source of both innovation and economic progress, but it also has the potential to negatively impact individuals` rights ("chilling effect"). The thesis analyses the usage of big data and automated individual decision making; both phenomena are assessed through principles contained in GDPR. The aim of the thesis is to, as far as these two phenomena are concerned, evaluate functionality and perspectives of the European regulation. The thesis is, apart from the introduction and the conclusion, divided into three chapters. The first part briefly introduces the concept of the right to the protection of personal data and the fundamental legal framework of the European regulation. This chapter is followed by a chapter focused on the big data, in which, after a necessary technical introduction is made, current practices of data controllers are contrasted with corresponding principles of data protection regulation. Particular attention is also paid to the pitfalls of anonymization. At the end of this chapter, it is concluded that all relevant...
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Tool for Classification of Lifestyle Traits Based on Metagenomic Data from the Large Intestine
Kubica, Jan ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
This thesis deals with analysis of human microbiome using metagenomic data from large intestine. The main focus is placed on bacteria composition in a sample on different taxonomic levels regarding the lifestyle traits of an individual. For this purpose, a tool for classification of several attributes was created. It considers attributes like diet type and eating habits (vegetarian, vegan, omnivore), gluten and lactose intolerance, body mass index, age or sex. From range of machine learning perspectives considering K Nearest Neighbours (kNN), Random Forest (RF) and Support Vector Machines (SVM) were used. Datasets for training and final evaluation of the classifier were taken from American Gut project. The thesis also focuses on particular problems with metagenomic datasets like its multidimensionality, sparsity, compositional character and class imbalance.
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Selected issues in technological realization of European data protection
Kubica, Jan ; Scheu, Harald Christian (advisor) ; Svobodová, Magdaléna (referee)
This thesis focuses on the legal regulation of selected aspects of the personal data protection at the European level. Fuelled by the technological progress, this area of legal regulation is becoming increasingly important, as the usage of personal data can be source of both innovation and economic progress, but it also has the potential to negatively impact individuals` rights ("chilling effect"). The thesis analyses the usage of big data and automated individual decision making; both phenomena are assessed through principles contained in GDPR. The aim of the thesis is to, as far as these two phenomena are concerned, evaluate functionality and perspectives of the European regulation. The thesis is, apart from the introduction and the conclusion, divided into three chapters. The first part briefly introduces the concept of the right to the protection of personal data and the fundamental legal framework of the European regulation. This chapter is followed by a chapter focused on the big data, in which, after a necessary technical introduction is made, current practices of data controllers are contrasted with corresponding principles of data protection regulation. Particular attention is also paid to the pitfalls of anonymization. At the end of this chapter, it is concluded that all relevant...
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