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Protein Classification Techniques
Dekrét, Lukáš ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
Main goal of classifying proteins into families is to understand structural, functional and evolutionary relationships between individual proteins, which are not easily deducible from available data. Since the structure and function of proteins are closely related, determination of function is mainly based on structural properties, that can be obtained relatively easily with current resources. Protein classification is also used in development of special medicines, in the diagnosis of clinical diseases or in personalized healthcare, which means a lot of investment in it. I created a new hierarchical tool for protein classification that achieves better results than some existing solutions. The implementation of the tool was preceded by acquaintance with the properties of proteins, examination of existing classification approaches, creation of an extensive data set, realizing experiments and selection of the final classifiers of the hierarchical tool.
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Negation in Fuzzy Logic
Dekrét, Lukáš ; Havlena, Vojtěch (referee) ; Křena, Bohuslav (advisor)
This thesis deals with fuzzy logical connections, mainly negations, their properties and constructions.We focused our attention on triangular norms and conorms, which are often used for modeling of fuzzy conjunction and disjunction.We showed the possibilities of constructions of triangular norm and conorm using involutive negations.Futhermore, we dealed with approximation of function, which was created using empirical data to well known fuzzy negator.
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Protein Classification Techniques
Dekrét, Lukáš ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
Main goal of classifying proteins into families is to understand structural, functional and evolutionary relationships between individual proteins, which are not easily deducible from available data. Since the structure and function of proteins are closely related, determination of function is mainly based on structural properties, that can be obtained relatively easily with current resources. Protein classification is also used in development of special medicines, in the diagnosis of clinical diseases or in personalized healthcare, which means a lot of investment in it. I created a new hierarchical tool for protein classification that achieves better results than some existing solutions. The implementation of the tool was preceded by acquaintance with the properties of proteins, examination of existing classification approaches, creation of an extensive data set, realizing experiments and selection of the final classifiers of the hierarchical tool.
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Negation in Fuzzy Logic
Dekrét, Lukáš ; Havlena, Vojtěch (referee) ; Křena, Bohuslav (advisor)
This thesis deals with fuzzy logical connections, mainly negations, their properties and constructions.We focused our attention on triangular norms and conorms, which are often used for modeling of fuzzy conjunction and disjunction.We showed the possibilities of constructions of triangular norm and conorm using involutive negations.Futhermore, we dealed with approximation of function, which was created using empirical data to well known fuzzy negator.
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