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Odkrivanje genetskih zakonitosti iz biomedicinskih podatkov : doktorska nalogaHristovski, Dimitar, 1964-Background: The number and the size of the databases, which are important for the field of genetics, are very large. This is especially true for the human genome research. Various international ... projects produce data in enormous quantities. In the field of genetics, there is a noticeable gap between the speed of producing new data and the ability of the researchers to analyse the data and synthesise it into new knowledge. Because of that, there is an urgentneed in genetics for new methods and tools for knowledge discovery in databases. Methods and materials: In this PhD thesis, we developed new methodology for genetic knowledge discovery in biomedical databases.This methodology served as a basis upon which in the first part of the thesis we developed an interactive genetic knowledge discovery support system (SPOGZ), which is general enough to be used in other medical domains as well. The goal of the system is: for a given starting concept of interest, discover new, potentially meaningful relations with other concepts that have not been published in the medical literature before. The main idea is to first find allthe concepts Y related to the starting concept X (e.g. if X is a disease then Y can be pathological functions, symptoms, ...). Then all the concepts Z related to Y are found (e.g. if Y is a pathological function, Z can be a chemical regulating that function or a molecule, structurally or functionally, related to the pathophisiology): As a last step we check if X andZ appear together in the medical literature. If they do not appear togetherthen we have discovered a potentially new relation between X and Z. This relation should be confirmed or rejected using human judgement, laboratory methods or clinical investigations, depending on the nature of X and Z. The known relations between the medical concepts come from the Medline bibliographic database. (Abstract truncated at 2000 characters).Type of material - dissertationPublication and manufacture - Ljubljana : [D. Hristovski], 2000Language - slovenianCOBISS.SI-ID - 2232084
Author
Hristovski, Dimitar, 1964-
Other authors
Stare, Janez, 1952- |
Peterlin, Borut, 1963-
Topics
Genetics |
Database |
Artificial intelligence |
Y chromosome |
Chromosome deletion |
Decision support techniques |
Genetika |
Podatkovne zbirke |
Umetna inteligenca |
Y kromosom |
Delecija kromosoma |
Tehnike za podporo odločanju |
medicinska informatika |
genetika
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MF, Central Medical Library, Ljubljana | Ljubljana | CMK |
outside loan 2 cop.
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National and University Library, Ljubljana | Ljubljana | NUK |
reading room 1 cop.
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University of Maribor Library | Maribor | UKM |
reading room 1 cop.
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not for loan 1 cop.
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Hristovski, Dimitar, 1964- | 11373 |
Stare, Janez, 1952- | 08992 |
Peterlin, Borut, 1963- | 10458 |
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