Related references
Note: Only part of the references are listed.Recovering the number of clusters in data sets with noise features using feature rescaling factors
Renato Cordeiro de Amorim et al.
INFORMATION SCIENCES (2015)
JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES
Eric F. Lock et al.
ANNALS OF APPLIED STATISTICS (2013)
SPARSE INTEGRATIVE CLUSTERING OF MULTIPLE OMICS DATA SETS
Ronglai Shen et al.
ANNALS OF APPLIED STATISTICS (2013)
DNA methylation profiles of long- and short-term glioblastoma survivors
Thoraia Shinawi et al.
EPIGENETICS (2013)
Pattern discovery and cancer gene identification in integrated cancer genomic data
Qianxing Mo et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)
INTEGRATIVE MODEL-BASED CLUSTERING OF MICROARRAY METHYLATION AND EXPRESSION DATA
Matthias Kormaksson et al.
ANNALS OF APPLIED STATISTICS (2012)
Identifying multi-layer gene regulatory modules from multi-dimensional genomic data
Wenyuan Li et al.
BIOINFORMATICS (2012)
Discovery of multi-dimensional modules by integrative analysis of cancer genomic data
Shihua Zhang et al.
NUCLEIC ACIDS RESEARCH (2012)
Integrative Subtype Discovery in Glioblastoma Using iCluster
Ronglai Shen et al.
PLOS ONE (2012)
Does gender matter in glioblastoma?
Eugenia Verger et al.
CLINICAL & TRANSLATIONAL ONCOLOGY (2011)
Analysis of Phosphotyrosine Signaling in Glioblastoma Identifies STAT5 as a Novel Downstream Target of ΔEGFR
Vaibhav Chumbalkar et al.
JOURNAL OF PROTEOME RESEARCH (2011)
Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme
Pascal O. Zinn et al.
PLOS ONE (2011)
Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
Roel G. W. Verhaak et al.
CANCER CELL (2010)
Aurora kinase A as a rational target for therapy in glioblastoma Laboratory investigation
Valerie N. Barton et al.
JOURNAL OF NEUROSURGERY-PEDIATRICS (2010)
Sparse partial least squares regression for simultaneous dimension reduction and variable selection
Hyonho Chun et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)
Epidermal Growth Factor Receptor in Glioma: Signal Transduction, Neuropathology, Imaging, and Radioresistance
Kimmo J. Hatanpaa et al.
NEOPLASIA (2010)
Molecular subtypes of breast cancer are associated with characteristic DNA methylation patterns
Karolina Holm et al.
BREAST CANCER RESEARCH (2010)
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
Ronglai Shen et al.
BIOINFORMATICS (2009)
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
Daniela M. Witten et al.
BIOSTATISTICS (2009)
Sparse canonical methods for biological data integration: application to a cross-platform study
Kim-Anh Le Cao et al.
BMC BIOINFORMATICS (2009)
Expression of nicotinamide N-methyltransferase in hepatocellular carcinoma is associated with poor prognosis
Jongmin Kim et al.
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH (2009)
Promoter Hypermethylation-mediated Inactivation of LRRC4 in Gliomas
Zuping Zhang et al.
BMC MOLECULAR BIOLOGY (2008)
Sparse principal component analysis via regularized low rank matrix approximation
Haipeng Shen et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2008)
An Integrative Genomic and Epigenomic Approach for the Study of Transcriptional Regulation
Maria E. Figueroa et al.
PLOS ONE (2008)
A direct formulation for sparse PCA using semidefinite programming
Alexandre d'Aspremont et al.
SIAM REVIEW (2007)
Sparse principal component analysis
Hui Zou et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2006)
Cluster validation by prediction strength
R Tibshirani et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2005)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
A modified principal component technique based on the LASSO
IT Jolliffe et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2003)
Share Paper
