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Studying lymphocyte development using mass cytometry
Novák, David ; Stuchlý, Jan (advisor) ; Špidlen, Josef (referee)
Studying lymphocyte development using mass cytometry Abstract Development of mature lymphocytes, a white blood cell subtype, is crucial for the correct function of the human immune system. Currently, developmental pathways of lymphocytes can be studied using high-throughput single-cell measurements. In particular, mass cytometry enables the study of immunologically relevant pheno- typic and functional markers on a vast scale. In this work I present my individual contribution to tviblindi, a powerful software tool for analysis of cytometric data aimed at uncovering developmental trajectories. tviblindi is a package written in R, Python and C++. It provides a means to integrate prior knowledge with data analyses grounded in graph theory and algebraic topology. tviblindi is accessible to biological researchers without background in computer science or mathematics. It is an addition to the expanding field of trajectory inference in single-cell data. Furthermore, I review current knowledge of T-cell development and conduct a tviblindi analysis thereof using human thymus and peripheral blood datasets and evaluate the results. 1
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Studying lymphocyte development using mass cytometry
Novák, David ; Stuchlý, Jan (advisor) ; Špidlen, Josef (referee)
Studying lymphocyte development using mass cytometry Abstract Development of mature lymphocytes, a white blood cell subtype, is crucial for the correct function of the human immune system. Currently, developmental pathways of lymphocytes can be studied using high-throughput single-cell measurements. In particular, mass cytometry enables the study of immunologically relevant pheno- typic and functional markers on a vast scale. In this work I present my individual contribution to tviblindi, a powerful software tool for analysis of cytometric data aimed at uncovering developmental trajectories. tviblindi is a package written in R, Python and C++. It provides a means to integrate prior knowledge with data analyses grounded in graph theory and algebraic topology. tviblindi is accessible to biological researchers without background in computer science or mathematics. It is an addition to the expanding field of trajectory inference in single-cell data. Furthermore, I review current knowledge of T-cell development and conduct a tviblindi analysis thereof using human thymus and peripheral blood datasets and evaluate the results. 1
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Flexibilita datových modelů v aplikaci MUDRLite
Nagy, Miroslav ; Špidlen, Josef
MUDRLite application was developed within the research in the EuroMISE Centre. It connects the user interface described in XML file with data layer. The structure of data stored in the database is not fixed. It is designed to fulfil needs of the target application. The data structure is called ER-model and in a real database it is stored as a database schema. Sometimes it is necessary to slightly modify the ER-model. In the process of data model evolution a database schema synchronising tool is very useful.
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Elektronický zdravotní záznam a telemedicína
Špidlen, Josef
Článek shrnuje disertační práci Josefa Špidlen, která převážně studuje možnosti reprezentace elektronického zdravotního záznamu. Obsaženy jsou pilotní implementace založené na nových technikách, flexibilních strukturách popsaných prostředky teorie grafů, XML a moderní aplikační architektuře. Navíc je analyzováno několik telemedicínských přístupů včetně mobilní Javy. Na některé z nových technologií byly podány České patentové přihlášky.
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PKCS Standards for Medical Documentation Purposes
Špidlen, Josef ; Nagy, Miroslav
The paper reviews usage of external cryptographic devices for purposes of electronic medical documentation. Advantages of such devices include high protection of private keys, i.e., a private key is generated inside the device and can never be removed. Communication standards, such as PKCS or MS CAPI, should be used to maintain independency on a particular cryptographic device. The paper manly focuses on PKCS #11 and its usability in the project “Information technologies for continuous shared health care”.
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