A consistency-based feature selection method allied with linear SVMs for HIV-1 protease cleavage site prediction

scientific article (publication date: 2013)

A consistency-based feature selection method allied with linear SVMs for HIV-1 protease cleavage site prediction is …
instance of (P31):
scholarly articleQ13442814

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P819ADS bibcode2013PLoSO...863145O
P356DOI10.1371/JOURNAL.PONE.0063145
P932PMC publication ID3751940
P698PubMed publication ID24058397
P5875ResearchGate publication ID256932028

P2093author name stringReda Alhajj
Tansel Ozyer
Abdallah Elsheikh
Alper Aksaç
Orkun Oztürk
P2860cites workBio-basis function neural network for prediction of protease cleavage sites in proteinsQ51536358
Support Vector Machines for predicting HIV protease cleavage sites in proteinQ52043614
Artificial neural network method for predicting HIV protease cleavage sites in proteinQ52229515
Neural network prediction of the HIV-1 protease cleavage sites.Q52320862
Variable context Markov chains for HIV protease cleavage site predictionQ53370757
Support-vector networksQ55922708
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataQ28386273
Mining viral protease data to extract cleavage knowledgeQ30712203
Classification based upon gene expression data: bias and precision of error ratesQ31107432
An automated genotyping system for analysis of HIV-1 and other microbial sequencesQ33220974
Comprehensive bioinformatic analysis of the specificity of human immunodeficiency virus type 1 proteaseQ33984365
Predicting human immunodeficiency virus protease cleavage sites in proteins by a discriminant function methodQ34379398
Prediction of human immunodeficiency virus protease cleavage sites in proteinsQ34395418
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancyQ34445269
What is a support vector machine?Q36679246
A review of feature selection techniques in bioinformaticsQ36919689
Specificity rule discovery in HIV-1 protease cleavage site analysisQ44899240
An MLP-based feature subset selection for HIV-1 protease cleavage site analysis.Q45963316
Why neural networks should not be used for HIV-1 protease cleavage site prediction.Q45966847
Application of support vector machines for T-cell epitopes predictionQ47446544
HIV-1 protease cleavage site prediction based on amino acid propertyQ47690736
Bio-support vector machines for computational proteomicsQ48561468
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue8
P407language of work or nameEnglishQ1860
P921main subjectfeature selectionQ446488
P304page(s)e63145
P577publication date2013-01-01
P1433published inPLOS OneQ564954
P1476titleA consistency-based feature selection method allied with linear SVMs for HIV-1 protease cleavage site prediction
P478volume8

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cites work (P2860)
Q41693960State of the art prediction of HIV-1 protease cleavage sites
Q41897739The importance of physicochemical characteristics and nonlinear classifiers in determining HIV-1 protease specificity
Q53981970Utilizing maximal frequent itemsets and social network analysis for HIV data analysis.

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