About: PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations.

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About: PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Single nucleotide variants represent a prevalent form of genetic variation. Mutations in the coding regions are frequently associated with the development of various genetic diseases. Computational tools for the prediction of the effects of mutations on protein function are very important for analysis of single nucleotide variants and their prioritization for experimental characterization. Many computational tools are already widely employed for this purpose. Unfortunately, their comparison and further improvement is hindered by large overlaps between the training datasets and benchmark datasets, which lead to biased and overly optimistic reported performances. In this study, we have constructed three independent datasets by removing all duplicities, inconsistencies and mutations previously used in the training of evaluated tools. Single nucleotide variants represent a prevalent form of genetic variation. Mutations in the coding regions are frequently associated with the development of various genetic diseases. Computational tools for the prediction of the effects of mutations on protein function are very important for analysis of single nucleotide variants and their prioritization for experimental characterization. Many computational tools are already widely employed for this purpose. Unfortunately, their comparison and further improvement is hindered by large overlaps between the training datasets and benchmark datasets, which lead to biased and overly optimistic reported performances. In this study, we have constructed three independent datasets by removing all duplicities, inconsistencies and mutations previously used in the training of evaluated tools. (en)
Title	PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. (en)
skos:prefLabel	PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. (en)
skos:notation	RIV/00216224:14310/14:00077795!RIV15-MSM-14310___
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(ED1.100/02/0123), P(EE2.3.30.0037)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Štourač, Jan Pavelka, Antonín Damborský, Jiří Brezovský, Jan Bendl, Jaroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	38789
http://linked.open...ai/riv/idVysledku	RIV/00216224:14310/14:00077795
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Meta-SNP; PredictSNP (en)
http://linked.open.../riv/klicoveSlovo	Meta-SNP PredictSNP
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[C86761714A4F]
http://linked.open...i/riv/nazevZdroje	PLOS Computational Biology
http://linked.open...in/vavai/riv/obor	CE
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	8 (xsd:int)
http://linked.open...vavai/riv/projekt	Employment of Best Young Scientists for International Cooperation Empowerment St. Anne´s University Hospital Brno - International Clinical Research Center (FNUSA-ICRC)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	10
http://linked.open...iv/tvurceVysledku	Brezovský, Jan Damborský, Jiří Pavelka, Antonín Zendulka, J. Bendl, Jaroslav Salanda, O. Wieben, E. D. Štourač, Jan
http://linked.open...ain/vavai/riv/wos	000337948500040
issn	1553-734X
number of pages	11 (xsd:int)
http://bibframe.org/vocab/doi	10.1371/journal.pcbi.1003440
http://localhost/t...ganizacniJednotka	14310

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