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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F05%3A00014719%21RIV10-MSM-14330___
rdf:type
skos:Concept n20:Vysledek
dcterms:description
This paper concerns about an application of machine learning methods to a prediction of a secondary structure of an unknown protein. The aim of this study is to the compare artificial neural networks as the state of art method with decision trees and naive Bayes classifier. Detailed experiments are done on selected PDB database data. Results shows that decision trees achieving 87.4 % Q3 accuracy outperform neural networks (80.5 %). Naive Bayes classifier is unusable for this task. This paper concerns about an application of machine learning methods to a prediction of a secondary structure of an unknown protein. The aim of this study is to the compare artificial neural networks as the state of art method with decision trees and naive Bayes classifier. Detailed experiments are done on selected PDB database data. Results shows that decision trees achieving 87.4 % Q3 accuracy outperform neural networks (80.5 %). Naive Bayes classifier is unusable for this task.
dcterms:title
Protein Secondary Structure Prediction by Machine Learning Methods Protein Secondary Structure Prediction by Machine Learning Methods
skos:prefLabel
Protein Secondary Structure Prediction by Machine Learning Methods Protein Secondary Structure Prediction by Machine Learning Methods
skos:notation
RIV/00216224:14330/05:00014719!RIV10-MSM-14330___
n3:aktivita
n21:Z
n3:aktivity
Z(MSM 143300003)
n3:dodaniDat
n7:2010
n3:domaciTvurceVysledku
n18:1080644
n3:druhVysledku
n9:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
539376
n3:idVysledku
RIV/00216224:14330/05:00014719
n3:jazykVysledku
n5:eng
n3:klicovaSlova
machine learning; protein; protein secondary structure prediction
n3:klicoveSlovo
n13:protein n13:machine%20learning n13:protein%20secondary%20structure%20prediction
n3:kontrolniKodProRIV
[00161DE86BE1]
n3:mistoKonaniAkce
Brno, Czech Republic
n3:mistoVydani
Brno, Czech Republic
n3:nazevZdroje
1st International Summer School on Computational Biology
n3:obor
n14:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n7:2005
n3:tvurceVysledku
Hroza, Jiří
n3:typAkce
n19:WRD
n3:zahajeniAkce
2005-09-04+02:00
n3:zamer
n15:MSM%20143300003
s:numberOfPages
5
n4:hasPublisher
Masaryk University
n6:isbn
80-210-3907-8
n17:organizacniJednotka
14330