A review of the stability of feature selection techniques for bioinformatics data
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Taghi M. Khoshgoftaar | Amri Napolitano | Randall Wald | David J. Dittman | Wael Awada | T. Khoshgoftaar | Amri Napolitano | Randall Wald | Wael Awada | D. Dittman
[1] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[2] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[3] Yue Han,et al. Stable Gene Selection from Microarray Data via Sample Weighting , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[4] Pedro Larrañaga,et al. Filter versus wrapper gene selection approaches in DNA microarray domains , 2004, Artif. Intell. Medicine.
[5] Taghi M. Khoshgoftaar,et al. Feature Selection with High-Dimensional Imbalanced Data , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[6] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[7] Yvan Saeys,et al. Robust Feature Selection Using Ensemble Feature Selection Techniques , 2008, ECML/PKDD.
[8] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[9] Peter Kokol,et al. Stability of Ranked Gene Lists in Large Microarray Analysis Studies , 2010, Journal of biomedicine & biotechnology.
[10] Anthony Boral,et al. Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib. , 2006, Blood.
[11] Thibault Helleputte,et al. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods , 2010, Bioinform..
[12] Bernard Zenko,et al. Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery , 2009, MLSB.
[13] Caroline C. Friedel,et al. Reliable gene signatures for microarray classification: assessment of stability and performance , 2006, Bioinform..
[14] Richard Baumgartner,et al. Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions , 2003, Bioinform..
[15] Taghi M. Khoshgoftaar,et al. An Empirical Study of Software Metrics Selection Using Support Vector Machine , 2011, SEKE.
[16] Geoff Holmes,et al. Benchmarking Attribute Selection Techniques for Discrete Class Data Mining , 2003, IEEE Trans. Knowl. Data Eng..
[17] Anne-Laure Boulesteix,et al. Stability and aggregation of ranked gene lists , 2009, Briefings Bioinform..
[18] Taghi M. Khoshgoftaar,et al. A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques , 2012, 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI).
[19] Huan Liu,et al. A Dilemma in Assessing Stability of Feature Selection Algorithms , 2011, 2011 IEEE International Conference on High Performance Computing and Communications.
[20] Jean Yee Hwa Yang,et al. Gene-gene interaction filtering with ensemble of filters , 2011, BMC Bioinformatics.
[21] D. DeMets,et al. Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework , 2001, Clinical pharmacology and therapeutics.
[22] Nir Friedman,et al. Tissue classification with gene expression profiles. , 2000 .
[23] Seon-Young Kim,et al. Effects of sample size on robustness and prediction accuracy of a prognostic gene signature , 2009, BMC Bioinformatics.
[24] Albert Y. Zomaya,et al. A Review of Ensemble Methods in Bioinformatics , 2010, Current Bioinformatics.
[25] N. Arden,et al. Quantifying stability in gene list ranking across microarray derived clinical biomarkers , 2011, BMC Medical Genomics.
[26] Ludmila I. Kuncheva,et al. A stability index for feature selection , 2007, Artificial Intelligence and Applications.
[27] P. Cunningham,et al. Solutions to Instability Problems with Sequential Wrapper-based Approaches to Feature Selection , 2002 .
[28] Jean-Philippe Vert,et al. The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures , 2011, PloS one.
[29] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[30] Pedro Larrañaga,et al. A review of feature selection techniques in bioinformatics , 2007, Bioinform..
[31] Melanie Hilario,et al. Knowledge and Information Systems , 2007 .
[32] Lei Liu,et al. Ensemble gene selection by grouping for microarray data classification , 2010, J. Biomed. Informatics.
[33] Taghi M. Khoshgoftaar,et al. Random forest: A reliable tool for patient response prediction , 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).
[34] Lloyd A. Smith,et al. Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper , 1999, FLAIRS.
[35] 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.
[36] Chris H. Q. Ding,et al. Consensus group stable feature selection , 2009, KDD.
[37] Igor Kononenko,et al. Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.
[38] Zengyou He,et al. Stable Feature Selection for Biomarker Discovery , 2010, Comput. Biol. Chem..
[39] Shyam Visweswaran,et al. Measuring Stability of Feature Selection in Biomedical Datasets , 2009, AMIA.
[40] Taghi M. Khoshgoftaar,et al. Stability Analysis of Feature Ranking Techniques on Biological Datasets , 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.
[41] Chris H. Q. Ding,et al. Stable feature selection via dense feature groups , 2008, KDD.