Sökning: id:"swepub:oai:slubar.slu.se:51961" >
Evaluation of machi...
Evaluation of machine learning algorithms on protein-protein interactions
-
- Klingström, Tomas (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics
-
- Forsberg, Simon (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för kliniska vetenskaper (KV),Department of Clinical Sciences
-
- Kierczak, Marcin (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för kliniska vetenskaper (KV),Department of Clinical Sciences
-
(creator_code:org_t)
-
- ISBN 9783319023083
- Cham : Springer International Publishing, 2014
- 2014
- Engelska.
-
Ingår i: Man-Machine Interactions 3. Advances in Intelligent Systems and Computing. - Cham : Springer International Publishing. - 9783319023083 ; 242:242, s. 211-218
- Relaterad länk:
-
https://res.slu.se/i...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Innehållsförteckning
Abstract
Ämnesord
Stäng
No table of content available
- Protein-protein interactions are important for the majority of biological processes. A significant number of computational methods have been developed to predict protein-protein interactions using proteins' sequence, structural and genomic data. Hence, this fact motivated us to perform a comparative study of various machine learning methods, training them on the set of known protein-protein interactions, using proteins' global and local attributes. The results of the classifiers were evaluated through cross-validation and several performance measures were computed. It was noticed from the results that support vector machine outperformed other classifiers. This fact has also been established through statistical test, called Wilcoxon rank sum test, at 5% significance level.
Ämnesord
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
- LANTBRUKSVETENSKAPER -- Bioteknologi med applikationer på växter och djur -- Genetik och förädling inom lantbruksvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agricultural Biotechnology -- Genetics and Breeding in Agricultural Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Publikations- och innehållstyp
- vet (ämneskategori)
- kap (ämneskategori)
Hitta via bibliotek
Till lärosätets databas