Stability of feature selection algorithms and ensemble feature selection methods in bioinformatics

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[1]  Pedro Larrañaga,et al.  A review of feature selection techniques in bioinformatics , 2007, Bioinform..

[2]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[3]  Melanie Hilario,et al.  Knowledge and Information Systems , 2007 .

[4]  Ting Chen,et al.  Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies. , 2004, Genome research.

[5]  Thomas A. Darden,et al.  Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method , 2001, Bioinform..

[6]  Melanie Hilario,et al.  Stability of feature selection algorithms , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

[7]  Marko Robnik-Sikonja,et al.  Theoretical and Empirical Analysis of ReliefF and RReliefF , 2003, Machine Learning.

[8]  Thomas G. Dietterich.  Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.

[9]  Mykola Pechenizkiy,et al.  Diversity in search strategies for ensemble feature selection , 2005, Inf. Fusion.

[10]  Thibault Helleputte,et al.  Robust biomarker identification for cancer diagnosis with ensemble feature selection methods , 2010, Bioinform..

[11]  Jesús S. Aguilar-Ruiz,et al.  Incremental wrapper-based gene selection from microarray data for cancer classification , 2006, Pattern Recognit..

[12]  Paul Terry,et al.  Application of the GA/KNN method to SELDI proteomics data , 2004, Bioinform..

[13]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[14]  Anne-Laure Boulesteix,et al.  Stability and aggregation of ranked gene lists , 2009, Briefings Bioinform..

[15]  Ian B. Jeffery,et al.  Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data , 2006, BMC Bioinformatics.

[16]  Ludmila I. Kuncheva,et al.  A stability index for feature selection , 2007, Artificial Intelligence and Applications.

[17]  P. Cunningham,et al.  Solutions to Instability Problems with Sequential Wrapper-based Approaches to Feature Selection , 2002 .

[18]  Cesare Furlanello,et al.  Algebraic stability indicators for ranked lists in molecular profiling , 2008, Bioinform..

[19]  Michael I. Jordan,et al.  Feature selection for high-dimensional genomic microarray data , 2001, ICML.

[20]  J. Ott,et al.  Complement Factor H Polymorphism in Age-Related Macular Degeneration , 2005, Science.

[21]  U. Alon,et al.  Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[22]  Huan Liu,et al.  Feature Selection for Classification , 1997, Intell. Data Anal..

[23]  J. Stuart Aitken,et al.  Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes , 2005, BMC Bioinformatics.

[24]  George Potamias,et al.  Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination , 2004, SETN.

[25]  Ilya Levner,et al.  Feature selection and nearest centroid classification for protein mass spectrometry , 2005, BMC Bioinformatics.

[26]  Jason Weston,et al.  Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.

[27]  Ramón Díaz-Uriarte,et al.  Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.

[28]  Tianzi Jiang,et al.  A combinational feature selection and ensemble neural network method for classification of gene expression data , 2004, BMC Bioinformatics.

[29]  Jason H. Moore,et al.  Tuning ReliefF for Genome-Wide Genetic Analysis , 2007, EvoBIO.

[30]  Elena Marchiori,et al.  Ensemble Feature Ranking , 2004, PKDD.

[31]  Jean Yee Hwa Yang,et al.  Gene-gene interaction filtering with ensemble of filters , 2011, BMC Bioinformatics.

[32]  S. Falcon,et al.  Combining Results of Microarray Experiments: A Rank Aggregation Approach , 2006, Statistical applications in genetics and molecular biology.

[33]  Gordon K Smyth,et al.  Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments , 2004, Statistical applications in genetics and molecular biology.

[34]  Yvan Saeys,et al.  Robust Feature Selection Using Ensemble Feature Selection Techniques , 2008, ECML/PKDD.

[35]  Pat Langley,et al.  Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..

[36]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[37]  Zengyou He,et al.  Stable Feature Selection for Biomarker Discovery , 2010, Comput. Biol. Chem..

[38]  Ruth Etzioni,et al.  Combining Results of Microarray Experiments: A Rank Aggregation Approach , 2006 .