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

Autor:	Krzysztof Psiuk-Maksymowicz, Damian Borys, Roman Jaksik, Dariusz Mrozek, Andrzej Świerniak, Krzysztof Fujarewicz, Sebastian Student, Aleksander Placzek
Rok vydání:	2016
Předmět:	0301 basic medicine Computer science business.industry Big data computer.software_genre Data structure Data warehouse 03 medical and health sciences Reference data 030104 developmental biology 0302 clinical medicine Biomedical data 030220 oncology & carcinogenesis Data mining business computer
Zdroj:	Communications in Computer and Information Science ISBN: 9783319340982 BDAS
DOI:	10.1007/978-3-319-34099-9_34
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3574068146716f1ea425c615b95b5554 https://doi.org/10.1007/978-3-319-34099-9_34 Zobrazit plný text záznamu