Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
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[1] W. Massy. Principal Components Regression in Exploratory Statistical Research , 1965 .
[2] I. Jolliffe,et al. Nonlinear Multivariate Analysis , 1992 .
[3] 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.
[4] D. Tritchler,et al. Sparse Canonical Correlation Analysis with Application to Genomic Data Integration , 2009, Statistical applications in genetics and molecular biology.
[5] David Tritchler,et al. Genome-wide sparse canonical correlation of gene expression with genotypes , 2007, BMC proceedings.
[6] M. Ringnér,et al. Impact of DNA amplification on gene expression patterns in breast cancer. , 2002, Cancer research.
[7] R. Tibshirani,et al. Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data , 2004, PLoS biology.
[8] C. Molony,et al. Genetic analysis of genome-wide variation in human gene expression , 2004, Nature.
[9] S. Hunt,et al. Genome-Wide Associations of Gene Expression Variation in Humans , 2005, PLoS genetics.
[10] Ajay N. Jain,et al. Genomic and transcriptional aberrations linked to breast cancer pathophysiologies. , 2006, Cancer cell.
[11] R. Tibshirani,et al. Prediction by Supervised Principal Components , 2006 .
[12] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[13] 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 .
[14] L. Staudt,et al. Molecular subtypes of diffuse large B-cell lymphoma arise by distinct genetic pathways , 2008, Proceedings of the National Academy of Sciences.
[15] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[16] Philippe Besse,et al. Sparse canonical methods for biological data integration: application to a cross-platform study , 2009, BMC Bioinformatics.
[17] Trevor Hastie,et al. Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays , 2003 .
[18] Meland,et al. THE USE OF MOLECULAR PROFILING TO PREDICT SURVIVAL AFTER CHEMOTHERAPY FOR DIFFUSE LARGE-B-CELL LYMPHOMA , 2002 .
[19] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[20] R. Redon,et al. Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes , 2007, Science.
[21] R. Tibshirani,et al. Diagnosis of multiple cancer types by shrunken centroids of gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[22] R. Tibshirani,et al. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. , 2009, Biostatistics.
[23] R. Tibshirani,et al. Spatial smoothing and hot spot detection for CGH data using the fused lasso. , 2008, Biostatistics.