Minimum redundancy feature selection from microarray gene expression data

Keywords

Feature selection, Minimum redundancy feature selection, Redundancy (engineering), Support vector machine, Bayes' theorem

References

• The Nature of Statistical LearningVladimir Vapnik — 1995
• Protein Structure Prediction: Selecting Salient Features from Large Candidate PoolsKevin J. Cherkauer, Jude Shavlik — 1993
• Information Theory: 1948-1998 - Guest EditorialSergio Verdú — 1998
• A Bayesian Learning Algorithm of Discrete Variables for Automatically Mining Irregular Features of Pattern ImagesHanchuan Peng, Fuhui Long — 2001
• The analysis of binary dataR. L. Plackett, D. R. Cox — 1971
• A comparison of methods for multiclass support vector machinesChih‐Wei Hsu, Chih‐Jen Lin — 2002
• Feature selection for high-dimensional genomic microarray dataEric P. Xing, Michael I. Jordan, Richard M. Karp — 2001
• Selection of Relevant Features in Machine LearningPat Langley — 1994
• Toward Optimal Feature SelectionDaphne Koller, Mehran Sahami — 1996
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression DataSandrine Dudoit, Jane Fridlyand, Terence P. Speed — 2002
• Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer.John Welsh, Patrick P. Zarrinkar, Lisa M. Sapinoso — 2001
• Diversity of gene expression in adenocarcinoma of the lungMitchell Garber, Olga G. Troyanskaya, Karsten Schluens — 2001
• Systematic variation in gene expression patterns in human cancer cell linesDouglas T. Ross, Uwe Scherf, Michael B. Eisen — 2000
• Biomarker identification by feature wrappers.Momiao Xiong, Xiangzhong Fang, Jinying Zhao — 2001
• Wrappers for Feature Subset SelectionRon Kohavi, George H. John — 1997
• A gene expression database for the molecular pharmacology of cancerUwe Scherf, Douglas T. Ross, Mark Waltham — 2000
• Analysis of gene expression profiles: class discovery and leaf orderingChris Ding — 2002
• A Nonparametric Scoring Algorithm for Identifying Informative Genes from Microarray DataPeter J. Park, Marcello Pagano, Marco Bonetti — 2000
• Tissue Classification with Gene Expression ProfilesAmir Ben‐Dor, Laurakay Bruhn, Nir Friedman — 2000
• On Relevance, Probabilistic Indexing and Information RetrievalM. E. Maron, J. L. Kuhns — 1960

Cited by

• Feature construction from synergic pairs to improve microarray-based classificationBlaise Hanczar, Jean‐Daniel Zucker, Corneliu Hénégar — 2007
• PSCL: predicting protein subcellular localization based on optimal functional domains.Neil J. Günther — 2012
• omniBiomarker: A Web-Based Application for Knowledge-Driven Biomarker IdentificationJuan María Madariaga Gorocica, Donald Kirkby — 2012
• Automatic characterization of neointimal tissue by intravascular optical coherence tomographyIsaac Bonyuet, Brian Cacha, Matthew Byrne — 2013
• Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imagingJosé Antonio Sayés Bermejo — 2015
• Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsyJavad Haghighat — 2015
• Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample好英 藤崎, 弘人 佐藤, 敏裕 山本 — 2017
• Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer ScreeningAndré Filipe Ferreira Torres — 2018
• Fuzzy Hyper-clustering for Pattern Classification in Microarray Gene Expression Data AnalysisJin Liu, Tuan D. Pham — 2010
• Feature Selection at the Discrete LimitMiao Zhang, Chris Ding, Ya Zhang — 2014
• Use of speaker location features in meeting diarizationMari Ostendorf, Scott Otterson — 2008
• A study on Feature Selection Techniques in Bio-InformaticsSubramanian Nirmala, ШЕВЧЕНКО О.П. ШЕВЧЕНКО О.П. — 2011
• Elaborazione di immagini per la realizzazione di sistemi di supporto alla guida automatica in ambito urbano, extraurbano ed off-road.E. Cardarelli — 2012
• Biomarker discovery and clinical outcome prediction using knowledge based-bioinformaticsJ. Phan — 2009
• Using Multidimensional Mutual Information to Prioritize Mammographic Features for Breast Cancer DiagnosisYanpeng Wu, David J. Vanness, Elizabeth S. Burnside — 2013
• Optimal Search Based Gene Selection for Cancer PrognosisJason Li, Hua Su, Hsinchun Chen — 2005
• Inferring Gene Regulatory Networks from Expression Data using Ensemble MethodsJanusz Sławek — 2014
• Evolutionary approaches for feature selection in biological dataVinh Quoc Dang — 2014
• Detecting and monitoring behavioural change through personalised ambient monitoringJames D. Amor — 2011
• Fostering Biological Relevance in Feature Selection for Microarray DataMichael E. Berens, Liu Huan, Lance Parsons — 2005

Related papers

• Genetic pathway analysis of expression microarray dataSándor Spisák, Orsolya Galamb, Ferenc Sípos — 2005
• Microarray analysis of salt-responsive genes in common wheatMochida, Ogihara — 2008
• Microarray analysis: basic strategies for successful experimentsScott A. Ness — 2007
• Effects of threshold choice on biological conclusions reached during analysis of gene expression by DNA microarrays.Kuang‐Hung Pan, Chih‐Jian Lih, Stanley N. Cohen — 2005
• The application of tissue microarrays in the validation of microarray results.Stephen M. Hewitt — 2006