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Robust integrated framework for effective feature selection..:

, In: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB),

Gao, Shang ; Addam, Omar ; Qabaja, Ala... - p. 112-119 , 2012

Link: https://doi.org/10.1109/CIBCB.2012.6217219

RT 
T1 <cTitle>2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)</cTitle>: T1 <Title>Robust integrated framework for effective feature selection and sample classification and its application to gene expression data analysis</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-6217219&Exemplar=1&LAN=DE
				
A1 Gao, Shang
A1 Addam, Omar
A1 Qabaja, Ala
A1 ElSheikh, Abdallah
A1 Zarour, Omar
A1 Nagi, Mohamad
A1 Triant, Flouris
A1 Almansoori, Wadhah
A1 Ozyer, Omer Sair Tansel
A1 Jia Zeng
A1 Rokne, Jon
A1 Alhajja, Reda
YR 2012
K1 Support vector machines
K1 Itemsets
K1 Communities
K1 Gene expression
K1 Biomarkers
K1 Bayesian methods
K1 Entropy
K1 Feature selection
K1 classification
K1 associative classifier
K1 naive Bayesian classifier
K1 SVM
K1 gene expression data
K1 chisquare
K1 network analysis
K1 clustering
K1 frequent pattern mining
SP 112
OP 119
LK http://dx.doi.org/https://doi.org/10.1109/CIBCB.2012.6217219
DO https://doi.org/10.1109/CIBCB.2012.6217219
SF ELIB - SuUB Bremen

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