Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods
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[1] L. Buydens,et al. Supervised Kohonen networks for classification problems , 2006 .
[2] Dmitriy Fradkin,et al. Experiments with random projections for machine learning , 2003, KDD '03.
[3] Dimitris Achlioptas,et al. Database-friendly random projections , 2001, PODS.
[4] M. Ringnér,et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks , 2001, Nature Medicine.
[5] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[6] Henrik Boström,et al. Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification , 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).
[7] T. Poggio,et al. Prediction of central nervous system embryonal tumour outcome based on gene expression , 2002, Nature.
[8] Lutgarde M. C. Buydens,et al. SOMPLS: A supervised self-organising map--partial least squares algorithm for multivariate regression problems , 2007 .
[9] S. D. Jong. SIMPLS: an alternative approach to partial least squares regression , 1993 .
[10] Ramón Díaz-Uriarte,et al. Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.
[11] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[12] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[13] 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.
[14] Christian A. Rees,et al. Systematic variation in gene expression patterns in human cancer cell lines , 2000, Nature Genetics.
[15] John Quackenbush. Microarray analysis and tumor classification. , 2006, The New England journal of medicine.
[16] David W. Aha,et al. Instance-Based Learning Algorithms , 1991, Machine Learning.
[17] H. Abdi. Partial Least Squares (PLS) Regression. , 2003 .
[18] Heikki Mannila,et al. Random projection in dimensionality reduction: applications to image and text data , 2001, KDD '01.
[19] A. Boulesteix. Statistical Applications in Genetics and Molecular Biology PLS Dimension Reduction for Classification with Microarray Data , 2011 .
[20] Anupam Gupta,et al. An elementary proof of the Johnson-Lindenstrauss Lemma , 1999 .
[21] Ian Witten,et al. Data Mining , 2000 .