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Sohyun Hwang et al.
NUCLEIC ACIDS RESEARCH (2019)
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
Katherine A. Hoadley et al.
CELL (2018)
Affinity network fusion and semi-supervised learning for cancer patient clustering
Tianle Ma et al.
METHODS (2018)
A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data
Qianxing Mo et al.
BIOSTATISTICS (2018)
Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma
Adrian Ally et al.
CELL (2017)
Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma
W. Marston Linehan et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data
Taosheng Xu et al.
PLOS ONE (2016)
GATA3 in Breast Cancer: Tumor Suppressor or Oncogene?
Motoki Takaku et al.
GENE EXPRESSION (2015)
A general framework for estimating the relative pathogenicity of human genetic variants
Martin Kircher et al.
NATURE GENETICS (2014)
Similarity network fusion for aggregating data types on a genomic scale
Bo Wang et al.
NATURE METHODS (2014)
Principles and methods of integrative genomic analyses in cancer
Vessela N. Kristensen et al.
NATURE REVIEWS CANCER (2014)
JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES
Eric F. Lock et al.
ANNALS OF APPLIED STATISTICS (2013)
A data-driven approach to preprocessing Illumina 450K methylation array data
Ruth Pidsley et al.
BMC GENOMICS (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)
Bayesian correlated clustering to integrate multiple datasets
Paul Kirk et al.
BIOINFORMATICS (2012)
Comprehensive molecular portraits of human breast tumours
Daniel C. Koboldt et al.
NATURE (2012)
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
Christina Curtis et al.
NATURE (2012)
Functions of DNA methylation: islands, start sites, gene bodies and beyond
Peter A. Jones
NATURE REVIEWS GENETICS (2012)
Prioritizing candidate disease genes by network-based boosting of genome-wide association data
Insuk Lee et al.
GENOME RESEARCH (2011)
Cancer genomics: from discovery science to personalized medicine
Lynda Chin et al.
NATURE MEDICINE (2011)
Septin 9 isoform expression, localization and epigenetic changes during human and mouse breast cancer progression
Diana Connolly et al.
BREAST CANCER RESEARCH (2011)
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)
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker et al.
JOURNAL OF CLINICAL ONCOLOGY (2009)
Integrative analysis reveals the direct and indirect interactions between DNA copy number aberrations and gene expression changes
Hyunju Lee et al.
BIOINFORMATICS (2008)
Adjusting batch effects in microarray expression data using empirical Bayes methods
W. Evan Johnson et al.
BIOSTATISTICS (2007)
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
Richard M. Neve et al.
CANCER CELL (2006)
Generalized genomic distance-based regression methodology for multilocus association analysis
Jennifer Wessel et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2006)
The molecular portraits of breast tumors are conserved across microarray platforms
Zhiyuan Hu et al.
BMC GENOMICS (2006)
Nomograms to predict pathologic complete response and metastasis-free survival after preoperative chemotherapy for breast cancer
R Rouzier et al.
JOURNAL OF CLINICAL ONCOLOGY (2005)
PRR5 encodes a conserved proline-rich protein predominant in kidney:: analysis of genomic organization, expression, and mutation status in breast and colorectal carcinomas
CN Johnstone et al.
GENOMICS (2005)
Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
S Monti et al.
MACHINE LEARNING (2003)
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
T Sorlie et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
Missing value estimation methods for DNA microarrays
O Troyanskaya et al.
BIOINFORMATICS (2001)