A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis.
暂无分享,去创建一个
[1] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[2] C. Eckart,et al. The approximation of one matrix by another of lower rank , 1936 .
[3] J. N. R. Jeffers,et al. Two Case Studies in the Application of Principal Component Analysis , 1967 .
[4] S. Wold. Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .
[5] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[6] Hideo Matsuda,et al. Quick selection of representative protein chain sets based on customizable requirements , 2000, Bioinform..
[7] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[8] L. Lazzeroni. Plaid models for gene expression data , 2000 .
[9] John D. Storey,et al. Empirical Bayes Analysis of a Microarray Experiment , 2001 .
[10] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[11] Patrik O. Hoyer,et al. Non-negative sparse coding , 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.
[12] M. Ringnér,et al. Impact of DNA amplification on gene expression patterns in breast cancer. , 2002, Cancer research.
[13] Christian A. Rees,et al. Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[14] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[15] I. Jolliffe,et al. A Modified Principal Component Technique Based on the LASSO , 2003 .
[16] Trevor Hastie,et al. Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays , 2003 .
[17] C. Molony,et al. Genetic analysis of genome-wide variation in human gene expression , 2004, Nature.
[18] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[19] S. Hunt,et al. Genome-Wide Associations of Gene Expression Variation in Humans , 2005, PLoS genetics.
[20] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[21] R. Tibshirani,et al. Sparse Principal Component Analysis , 2006 .
[22] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[23] Ajay N. Jain,et al. Genomic and transcriptional aberrations linked to breast cancer pathophysiologies. , 2006, Cancer cell.
[24] Ian T. Jolliffe,et al. Projected gradient approach to the numerical solution of the SCoTLASS , 2006, Comput. Stat. Data Anal..
[25] David Tritchler,et al. Genome-wide sparse canonical correlation of gene expression with genotypes , 2007, BMC proceedings.
[26] R. Redon,et al. Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes , 2007, Science.
[27] R. Tibshirani,et al. PATHWISE COORDINATE OPTIMIZATION , 2007, 0708.1485.
[28] Jianhua Z. Huang,et al. Sparse principal component analysis via regularized low rank matrix approximation , 2008 .
[29] R. Tibshirani,et al. Spatial smoothing and hot spot detection for CGH data using the fused lasso. , 2008, Biostatistics.
[30] A. Zwinderman,et al. Statistical Applications in Genetics and Molecular Biology Quantifying the Association between Gene Expressions and DNA-Markers by Penalized Canonical Correlation Analysis , 2011 .
[31] Alfred O. Hero,et al. A greedy approach to sparse canonical correlation analysis , 2008, 0801.2748.
[32] Patrick O. Perry,et al. Bi-cross-validation of the SVD and the nonnegative matrix factorization , 2009, 0908.2062.
[33] Daniela M Witten,et al. Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data , 2009, Statistical applications in genetics and molecular biology.
[34] Holger Hoefling. A Path Algorithm for the Fused Lasso Signal Approximator , 2009, 0910.0526.
[35] D. Tritchler,et al. Sparse Canonical Correlation Analysis with Application to Genomic Data Integration , 2009, Statistical applications in genetics and molecular biology.