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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

A Holistic Approach to Testing Biomedical Hypotheses and Analysis of Biomedical Data

verfasst von : Krzysztof Psiuk-Maksymowicz, Aleksander Płaczek, Roman Jaksik, Sebastian Student, Damian Borys, Dariusz Mrozek, Krzysztof Fujarewicz, Andrzej Świerniak

Erschienen in: Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery

Verlag: Springer International Publishing

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Abstract

Testing biomedical hypotheses is performed based on advanced and usually many-step analysis of biomedical data. This requires sophisticated analytical methods and data structures that allow to store intermediate results, which are needed in the subsequent steps. However, biomedical data, especially reference data, often change in time and new analytical methods are created every year. This causes the necessity to repeat the iterative analyses with new methods and new reference data sets, which in turn causes frequent changes of the underlying data structures. Such instability of data structures can be mitigated by the use of the idea of data lake, instead of traditional database systems.
The aim of this paper is to show system for researchers dealing with various types of biomedical data. Such a system provides a functionality of data analysis and testing different biomedical hypotheses. We treat a problem in a holistic way giving a researcher freedom in configuration his own multi-step analysis. This is possible by using a multiversion dynamic-schema data warehouse, performing parallel calculations on the virtualized computational environment, and delivering data in MapReduce-based ETL processes.

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Vorheriges Kapitel Evaluation of Descriptor Algorithms of Biological Sequences and Distance Measures for the Intelligent Cluster Index (ICIx)
Nächstes Kapitel Distributed Monte Carlo Feature Selection: Extracting Informative Features Out of Multidimensional Problems with Linear Speedup
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Metadaten
Titel
A Holistic Approach to Testing Biomedical Hypotheses and Analysis of Biomedical Data
verfasst von
Krzysztof Psiuk-Maksymowicz
Aleksander Płaczek
Roman Jaksik
Sebastian Student
Damian Borys
Dariusz Mrozek
Krzysztof Fujarewicz
Andrzej Świerniak
Copyright-Jahr
2016
Buch
Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery

Print ISBN: 978-3-319-34098-2

Electronic ISBN: 978-3-319-34099-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-34099-9_34

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