Kontaktujte nás | Jazyk: čeština English
dc.title | Data-mining protein structure by clustering, segmentation and evolutionary algorithms | en |
dc.contributor.author | Lexa, Matej | |
dc.contributor.author | Zelinka, Ivan | |
dc.contributor.author | Snášel, Václav | |
dc.relation.ispartof | Foundations of computational intelligence, Vol. 4 | |
dc.identifier.isbn | 978-3-642-01087-3 | |
dc.date.issued | 2009 | |
dc.event.location | Heidelberg | |
utb.event.state-en | Germany | |
utb.event.state-cs | Německo | |
dc.type | bookPart | |
dc.language.iso | en | |
dc.publisher | Springer-Verlag. Berlin | |
dc.subject | evolutionary algorithms | en |
dc.subject | datamining | en |
dc.subject | bioinformatics | en |
dc.subject | protein structures | en |
dc.description.abstract | Bio-inspired methods which include evolutionary algorithms are currently widely used to solve very difficult problems. Such problems include bioinformatics problems such as the synthesis of protein structures, identifying parts of DNA, etc. This chapter presents the basic description of evolutionary algorithms and outlining their potential application in bioinformatics. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1006090 | |
utb.identifier.rivid | RIV/70883521:28140/09:63507997!RIV10-MSM-28140___ | |
utb.identifier.obdid | 43861773 | |
utb.source | c-riv | |
dc.date.accessioned | 2016-04-28T10:37:44Z | |
dc.date.available | 2016-04-28T10:37:44Z | |
dc.description.sponsorship | Z(MSM7088352101) | |
dc.format.extent | 395 | |
utb.identifier.utb-sysno | 66057 | |
utb.contributor.internalauthor | Zelinka, Ivan | |
riv.obor | JD | |
utb.fulltext.affiliation | Matej Lexa, Václav Snášel, Ivan Zelinka Masaryk University, Brno, Czech Republic e-mail: [email protected] VSB - Technical University of Ostrava, Ostrava, Czech Republic e-mail: [email protected] Tomáš Baťa University, Zlín, Czech Republic e-mail: [email protected] | |
utb.fulltext.dates | - |