Data and text mining Visualization-based cancer microarray data classification analysis
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Blaz Zupan | Janez Demsar | Gregor Leban | Minca Mramor | J. Demšar | B. Zupan | M. Mramor | Gregor Leban
[1] Martin Charlton,et al. An Investigation of Methods for Visualising Highly Multivariate Datasets , 1998 .
[2] R. Hardy,et al. B cell development pathways. , 2001, Annual review of immunology.
[3] Georges G. Grinstein,et al. DNA visual and analytic data mining , 1997 .
[4] Ivan Bratko,et al. Microarray data mining with visual programming , 2005, Bioinform..
[5] Marcel J. T. Reinders,et al. A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets , 2006, BMC Bioinformatics.
[6] Blaz Zupan,et al. Orange: From Experimental Machine Learning to Interactive Data Mining , 2004, PKDD.
[7] K. Possinger,et al. Molecular genetic characteristics of lung cancer--useful as real' tumor markers? , 1999, Lung cancer.
[8] Ivan Bratko,et al. VizRank: Data Visualization Guided by Machine Learning , 2006, Data Mining and Knowledge Discovery.
[9] Ruth M. Pfeiffer,et al. Graphical Methods for Class Prediction Using Dimension Reduction Techniques on DNA Microarray Data , 2003, Bioinform..
[10] Belur V. Dasarathy,et al. Nearest neighbor (NN) norms: NN pattern classification techniques , 1991 .
[11] E. Lander,et al. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[12] M. Radmacher,et al. Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. , 2003, Journal of the National Cancer Institute.
[13] A. Boulesteix. Statistical Applications in Genetics and Molecular Biology PLS Dimension Reduction for Classification with Microarray Data , 2011 .
[14] Edward R. Dougherty,et al. Is cross-validation valid for small-sample microarray classification? , 2004, Bioinform..
[15] Anne-Laure Boulesteix,et al. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data , 2006, Briefings Bioinform..
[16] K. Marx,et al. Applications of Machine Learning and High‐Dimensional Visualization in Cancer Detection, Diagnosis, and Management , 2004, Annals of the New York Academy of Sciences.
[17] M. Ringnér,et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks , 2001, Nature Medicine.
[18] Constantin F. Aliferis,et al. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis , 2004, Bioinform..
[19] Mei-Ling Ting Lee,et al. Analysis of Microarray Gene Expression Data , 2004, Springer US.
[20] Todd,et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning , 2002, Nature Medicine.
[21] David M. Rocke,et al. Dimension Reduction for Classification with Gene Expression Microarray Data , 2006, Statistical applications in genetics and molecular biology.
[22] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[23] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[24] E. Lander,et al. MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia , 2002, Nature Genetics.
[25] D. Birnbaum,et al. Expression of the FMS/KIT-like gene FLT3 in human acute leukemias of the myeloid and lymphoid lineages. , 1992, Blood.
[26] Musa H. Asyali,et al. Gene Expression Profile Classification: A Review , 2006 .
[27] D. Allison,et al. Microarray data analysis: from disarray to consolidation and consensus , 2006, Nature Reviews Genetics.
[28] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[29] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[30] Leslie Grate,et al. Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery , 2005, BMC Bioinformatics.
[31] T. Pham,et al. Analysis of Microarray Gene Expression Data , 2006 .