Combining multiple approaches for gene microarray classification

Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction

(2011) Ping Shi et al.   BMC BIOINFORMATICS

Methods of forward feature selection based on the aggregation of classifiers generated by single attribute

(2011) Linkai Luo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An ensemble of filters and classifiers for microarray data classification

(2011) V. Bolón-Canedo et al.   PATTERN RECOGNITION

An effective double-bounded tree-connected Isomap algorithm for microarray data classification

(2011) C. Orsenigo et al.   PATTERN RECOGNITION LETTERS

Local binary patterns variants as texture descriptors for medical image analysis

(2010) Loris Nanni et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Decision forest for classification of gene expression data

(2010) Jianping Huang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Wavelet selection for disease classification by DNA microarray data

(2010) Loris Nanni et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel support vector sampling technique to improve classification accuracy and to identify key genes of leukaemia and prostate cancers

(2010) Austin H. Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Cancer Classification from Gene Expression Data by NPPC Ensemble

(2010) S Ghorai et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition

(2010) Maqsood Hayat et al.   JOURNAL OF THEORETICAL BIOLOGY

Finding optimal classifiers for small feature sets in genomics and proteomics

(2010) Gregor Stiglic et al.   NEUROCOMPUTING

A hybrid LDA and genetic algorithm for gene selection and classification of microarray data

(2010) Edmundo Bonilla Huerta et al.   NEUROCOMPUTING

Improved direct LDA and its application to DNA microarray gene expression data

(2010) Kuldip K. Paliwal et al.   PATTERN RECOGNITION LETTERS

A Sparse Learning Machine for High-Dimensional Data with Application to Microarray Gene Analysis

(2009) Qiang Cheng   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

(2008) Alexander Statnikov et al.   BMC BIOINFORMATICS

Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies

(2008) G. Lee et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Wavelet feature extraction for high-dimensional microarray data

(2008) Yihui Liu   NEUROCOMPUTING