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Detection of Correlated Mutations
Ižák, Tomáš ; Bendl, Jaroslav (referee) ; Martínek, Tomáš (advisor)
Tato práce zkoumá existující možnosti a metody detekce korelovaných mutací v proteinech. Práce začíná teoretickým úvodem do zkoumané problematiky. Využití informací o korelovaných mutacích je především při predikci terciální struktury proteinu či hledání oblastí s významnou funkcí. Dále následuje přehled v současnosti používaných metod detekce a jejich výhody a nevýhody. V této práci jsou zkoumány zejména metody založené na statistice (například Pearsonově korelačním koeficientu nebo Pearsonově chi^2 testu), informační teorii (Mutual information - MI) a pravděpodobnosti (ELSC nebo Spidermonkey). Dále jsou popsány nejdůležitější nástroje s informací o tom, které metody používají a jakým způsobem. Také je diskutována možnost návrhu optimálního algoritmu. Jako optimální z hlediska úspěšnosti detekce je doporučeno využít více zmíněných metod. Také je doporučeno při detekci využít fyzikálně-chemických vlastností aminokyselin. V praktické části byla vyvinuta metoda využívající fyzikálně-chemických vlastností aminokyselin a fylogenetických stromů. Výsledky detekce byly porovnány s nástroji CAPS, CRASP a CMAT.
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Implementation of Statistical Compression Methods
Beněk, Tomáš ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis deals with the statistical compression methods. This work describes basic theoretical introduction to the data compression and the most important representatives of statistical methods. There is also described compression process based on the Burrows-Wheeler algorithm, which is implemented in the form of portable library in C++ programming language. This work compares effectiveness of each method on suitable data corpus, which contains various data types and according to achieved results discusses suitability of usage of methods and possible improvements.
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Detection of Network Anomalies Based on NetFlow Data
Czudek, Marek ; Bartoš, Václav (referee) ; Kořenek, Jan (advisor)
This thesis describes the use of NetFlow data in the systems for detection of disruptions or anomalies in computer network traffic. Various methods for network data collection are described, focusing especially on the NetFlow protocol. Further, various methods for anomaly detection in network traffic are discussed and evaluated, and their advantages as well as disadvantages are listed. Based on this analysis one method is chosen. Further, test data set is analyzed using the method. Algorithm for real-time network traffic anomaly detection is designed based on the analysis outcomes. This method was chosen mainly because it enables detection of anomalies even in an unlabelled network traffic. The last part of the thesis describes implementation of the algorithm, as well as experiments performed using the resulting application on real NetFlow data.
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Statistical methods for evaluation of sensorial data
Kozielová, Magda ; Kříž, Oldřich (referee) ; Michálek, Jaroslav (advisor)
\par The thesis deals with the statistical evaluation of data gained by the sensory analysis of the foodstuff. It brings a selection of the suitable statistical tests, a detailed analysis of these tests and their comparision based on the particular power functions for given parameters. As an important part of the thesis, there is a creating of custom software for the evaluating of sensorial data.
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Use of Statistical Methods for Assessment of the Financial Company Performance
Dvořák, Václav ; Štěpánková, Vladěna (referee) ; Doubravský, Karel (advisor)
This thesis deals with the use of statistical methods in practice. From the field of statistics is the work of regression analysis and time series analysis, which brought to a critical assessment of the financial situation of the company HELIX Liberec, s.r.o. The work is divided into theoretical and practical parts. The theoretical part focuses on explanations of important terms of statistical and financial analyzes that are subsequently applied in the practical part. Finally, the practical part are assessed and proposals to improve the economic situation.
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Assessment of the Financial Situation of a Company Using Statistical Methods
Machotka, Pavel ; Procházka,, Pavel (referee) ; Doubravský, Karel (advisor)
The Master´s thesis is concerned with an analysis of financial statements of a selected stock company using statistical methods and further comparisons with two major branch competitors. On the basis of the previous steps is settled comprehensive assessment of the current situation and future strategic steps are proposed. These steps are supposed to bring an economical growth to the company. The work is built up on the necessary theoretical economic and strategic backgrounds.
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Use of Time Series for Technical Analysis of Shares
Hela, Michael ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This master's thesis deals with the analysis of selected rates of shares by using statistical methods including regression analysis and analysis of time series. Using moving averages as technical indicators in technical analysis of securities to predict the future development of rates of shares and finding buy and sell signals that these indicators generate. The results of this work are suggestions for stock trading based on the use of these methods.
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Financial Statements Analysis of the Company Norgren CZ Using Time Series
Veber, Antonín ; Kubuš,, Marek (referee) ; Doubravský, Karel (advisor)
The analysis of financial statements of Norgren CZ Company based on statistical methods and comparing with Festo Company, which is one of the best competitors this concern, is the object of presented thesis. Used methods are financial analysis and time series analysis. Suggest part of thesis is focused on inventory management, cost reduction and looking for new markets opportunities. The thesis contains theoretical background needed for full understanding of the analytical part, analysis and recommendations, which after putting themselves into practice contribute to the betterment of present condition as well.
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Analysis of Business Performance Factors
Janková, Ivana ; Fiala, Vojtěch (referee) ; Režňáková, Mária (advisor)
This graduation theses analyses intercompany comparisons using one-dimensional and multi-dimensional methods. It focuses on enterprises actuating in terms of a subsegment of national economy – building industry. Factors that influence the performance of companies most in this field will be selected by using correlation coefficient. Its economic development during the years and also characteristics of the industry will be described in details.
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