LIDMAN, Petr, Zdenko STANÍČEK, Filip PROCHÁZKA, Eva BUDINSKÁ, Jiří JARKOVSKÝ and Ladislav DUŠEK. Projekt EMIL (Effective Microarray IntelLigence): přínos metod umělé inteligence pro analýzu microarrays (Project EMIL (Effective Microarray IntelLigence): benefits of artificial intelligence methods for microarray analysis). In Sborník abstraktů konference se zahraniční účastí. Analytická cytometrie III. Brno: Česká společnost pro analytickou cytologii, 2005, p. 107-108. ISBN 80-239-5155-6.
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Basic information
Original name Projekt EMIL (Effective Microarray IntelLigence): přínos metod umělé inteligence pro analýzu microarrays
Name (in English) Project EMIL (Effective Microarray IntelLigence): benefits of artificial intelligence methods for microarray analysis
Authors LIDMAN, Petr (203 Czech Republic), Zdenko STANÍČEK (203 Czech Republic), Filip PROCHÁZKA (203 Czech Republic), Eva BUDINSKÁ (703 Slovakia), Jiří JARKOVSKÝ (203 Czech Republic) and Ladislav DUŠEK (203 Czech Republic, guarantor).
Edition Brno, Sborník abstraktů konference se zahraniční účastí. Analytická cytometrie III. p. 107-108, 2005.
Publisher Česká společnost pro analytickou cytologii
Other information
Original language Czech
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/05:00013455
Organization unit Faculty of Informatics
ISBN 80-239-5155-6
Keywords in English microarray; microarrays; artificial intelligence; uiron; oncology; machine learning; intelligent assistant
Tags Artificial Intelligence, intelligent assistant, machine learning, microarray, microarrays, oncology, uiron
Changed by Changed by: Mgr. Petr Lidman, učo 3619. Changed: 6/2/2006 18:00.
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1ET208120511, research and development projectName: Implementace a validace robustního znalostního analytického systému UIRON pro oblast onkologie
Investor: Academy of Sciences of the Czech Republic, Implementation and validation of robust knowledge management and analytical system UIRON for oncology
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