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References from Classification methods for high-dimensional genetic data. Local targets link to admitted publications; unresolved targets remain external evidence.
Microarrays, pattern recognition and exploratory data analysis
10.1002/sim.1364 · 2003 · External reference
Reader's reaction to “dimension reduction for classification with gene expression microarray data” by Dai et al (2006)
10.2202/1544-6115.1226 · 2006 · External reference
Unresolved reference
2001 · External reference
Inadmissibility of the usual estimator for the mean of a multivariate normal distribution
1956 · External reference
Shrinkage regression
2002 · External reference
Significance analysis of microarrays applied to the ionizing radiation response
10.1073/pnas.091062498 · 2001 · External reference
Wavelet shrinkage: asymptopia?
10.1111/j.2517-6161.1995.tb02032.x · 1995 · External reference
Ideal spatial adaptation by wavelet shrinkage
10.1093/biomet/81.3.425 · 1994 · External reference
Heuristics of instability and stabilization in model selection
10.1214/aos/1032181158 · 1996 · External reference
Dimension reduction for classification with gene expression microarray data
10.2202/1544-6115.1147 · 2006 · External reference
An entropy-based gene selection method for cancer classification using microarray data
10.1186/1471-2105-6-76 · 2005 · External reference
Robust classification in high dimensions based on the SIMCA method
10.1016/j.chemolab.2005.03.002 · 2005 · External reference
On multivariate methods in robust econometrics
10.18267/j.pep.411 · 2012 · External reference
High-dimensional regression and variable selection using CAR scores
10.2202/1544-6115.1730 · 2011 · External reference
A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics
10.2202/1544-6115.1175 · 2005 · External reference
Improving implementation of linear discriminant analysis for the high dimension/small sample size problem
10.1016/j.csda.2007.02.001 · 2007 · External reference
Robust estimation and outlier detection with correlation coefficients
10.1093/biomet/62.3.531 · 1975 · External reference
10.1016/s0208-5216(12)70033-5 · 2012 · Admitted local publication
Regularized discriminant analysis
10.1080/01621459.1989.10478752 · 1989 · External reference
Class prediction by nearest shrunken centroids, with applications to DNA microarrays
10.1214/ss/1056397488 · 2003 · External reference
Improved estimation of the covariance matrix of stock returns with an application to portfolio selection
10.1016/s0927-5398(03)00007-0 · 2003 · External reference
A well-conditioned estimator for large-dimensional covariance matrices
10.1016/s0047-259x(03)00096-4 · 2004 · External reference
Regularized discriminant analysis and its application in microarrays
10.1093/biostatistics/kxj035 · 2007 · External reference
Tumor classification by partial least squares using microarray gene expression data
10.1093/bioinformatics/18.1.39 · 2002 · External reference
Partial least squares for discrimination
10.1002/cem.785 · 2003 · External reference
Principal component discriminant analysis
10.2202/1544-6115.1350 · 2008 · External reference
Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models
10.1016/j.compbiolchem.2004.05.002 · 2004 · External reference
Classification using generalized partial least squares
10.1198/106186005x47697 · 2005 · External reference
Application of shrinkage techniques in logistic regression analysis: a case study
10.1111/1467-9574.00157 · 2001 · External reference
Least angle regression
10.1214/009053604000000067 · 2004 · External reference
Least angle and l1 penalized regression: a review
10.1214/08-ss035 · 2008 · External reference
The adaptive lasso and its oracle properties
10.1198/016214506000000735 · 2006 · External reference
Classification and selection of biomarkers in genomic data using LASSO
10.1155/jbb.2005.147 · 2005 · External reference
Nonparametric multivariate rank tests and their unbiasedness
10.3150/10-bej326 · 2012 · External reference
Limma: linear models for microarray data
2005 · External reference
Accurate ranking of differentially expressed genes by a distribution-free shrinkage approach
10.2202/1544-6115.1252 · 2007 · External reference
Multivariate analysis of variance test for gene set analysis
10.1093/bioinformatics/btp098 · 2009 · External reference
Linear combination test for hierarchical gene set analysis
10.2202/1544-6115.1641 · 2011 · External reference
Unresolved reference
2011 · External reference
Entropy-based gene ranking without selection bias for the predictive classification of microarray data
10.1186/1471-2105-4-54 · 2003 · External reference
The Berlin brain–computer interface
10.1007/978-3-540-68860-0_4 · 2008 · External reference
Relaxed linear separability (RLS) approach to feature (gene) subset selection
2011 · External reference
Semi-supervised methods to predict patient survival from gene expression data
10.1371/journal.pbio.0020108 · 2004 · External reference
Laplacian linear discriminant analysis approach to unsupervised feature selection
10.1109/tcbb.2007.70257 · 2009 · External reference
James–Stein shrinkage to improve k-means cluster analysis
10.1016/j.csda.2010.03.018 · 2010 · External reference
BagBoosting for tumor classification with gene expression data
10.1093/bioinformatics/bth447 · 2004 · External reference
Over-optimism in bioinformatics: an illustration
10.1093/bioinformatics/btq323 · 2010 · External reference
Entropy inference and the James–Stein estimator, with application to nonlinear gene association networks
2009 · External reference
