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Statistical Significance of Clustering using Soft Thresholding.

author

Ming Yuan

ਵਿੱਚ ਛਪਿਆ: Journal of Computational and Graphical Statistics

date of publication: 2015-12-10

main subject: ਅੰਕੜਾ ਵਿਗਿਆਨ

Cites articles 17

Date

ਸਿਰਲੇਖ

ਲੇਖਕ

2014-03-01

The joint graphical lasso for inverse covariance estimation across multiple classes

Daniela Witten
2012-03

Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets

Ranjan Maitra
2011-03-03

Mixtures of common t-factor analyzers for clustering high-dimensional microarray data

Geoffrey McLachlan
2010-08-29

Model-based clustering of microarray expression data via latent Gaussian mixture models

Paul D. McNicholas, Thomas B. Murphy
2010-01-19

Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1

Jill P. Mesirov, Gad Getz, Wendy Winckler, Stacey Gabriel, Cameron Brennan, Charles M. Perou, Matthew Meyerson, Terry Speed, Todd Golub, Pablo Tamayo, Barbara A Weir, Roel G W Verhaak, Ari E Kahn, Paul Spellman, Joe W Gray
2009-08-19

A core MYC gene expression signature is prominent in basal-like breast cancer but only partially overlaps the core serum response

Charles M. Perou, Sanjay Chandriani, Eirik Frengen, Victoria Cowling, Sarah Pendergrass
2009-04-17

A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis

Robert Tibshirani, Trevor Hastie, Daniela Witten
2009-03-10

Supervised risk predictor of breast cancer based on intrinsic subtypes

Charles M. Perou, Maggie Chon U Cheang
2009-06-01

NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES

Yang Feng
2008-07-16

Molecular subsets in the gene expression signatures of scleroderma skin

Sarah Pendergrass
2008-01-01

Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables
2008-09

Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data

J. S. Marron
2007-12-12

Sparse inverse covariance estimation with the graphical lasso

Robert Tibshirani, Trevor Hastie, Jerome H. Friedman
2007-10-26

Variable selection for model-based high-dimensional clustering and its application to microarray data
2006-08-01

Concordance among gene-expression-based predictors for breast cancer

Charles M. Perou, Britta Weigelt
2006-04-04

Pvclust: an R package for assessing the uncertainty in hierarchical clustering

Ryota Suzuki, Hidetoshi Shimodaira
2002-11-01

Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data

Boris Freidlin

Article - wd:Q40118905

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