Machine Learning Applications in Bioinformatics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00196365" target="_blank" >RIV/68407700:21230/12:00196365 - isvavai.cz</a>
Result on the web
<a href="http://itat.ics.upjs.sk/proceedings/ITAT2012%20-%20CEUR%20Proceedings%20-%20tlacova%20verzia.pdf" target="_blank" >http://itat.ics.upjs.sk/proceedings/ITAT2012%20-%20CEUR%20Proceedings%20-%20tlacova%20verzia.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Machine Learning Applications in Bioinformatics
Original language description
Bioinformatics is a field of study dealing with methods for storing, retrieving and analyzing gene and protein oriented biological data. High-throughput technologies like DNA sequencing or microarrays allow researchers to obtain large volumes of heterogeneous and mutually interacting data. Analysis and understanding of these data provides a natural application field for machine leasing algorithms. At the same time, bioinformatics is a scientific branch of such analytical complexity, data variety and abundance that it motivates further development of specialized learning algorithms such as co-clustering or multiple sequence alignment. This paper provides a brief overview of the topics and works discussed during my talk on machine learning applications in bioinformatics. The talk starts with a preview of fundamental bioinformatics analytical tasks solved by machine learning algorithms mentioning a few success stories. The second part summarizes the recent bioinformatics research carried
Czech name
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Czech description
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Project
<a href="/en/project/GAP202%2F12%2F2032" target="_blank" >GAP202/12/2032: Predicting protein properties through spatial statistical relational machine learning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of Conference on Theory and Practice of information Technologies
ISBN
978-80-971144-0-4
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
1-2
Publisher name
Univerzita P. J. Šafárika
Place of publication
Košice
Event location
Belianské Tatry
Event date
Sep 17, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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