Machine learning methods in the computational biology of cancer

Systematic genomic identification of colorectal cancer genes delineating advanced from early clinical stage and metastasis

(2013) HoJoon Lee et al.   BMC Medical Genomics

Cancer statistics, 2013

(2013) Rebecca Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

SVM–T-RFE: A novel gene selection algorithm for identifying metastasis-related genes in colorectal cancer using gene expression profiles

(2012) Xiaobo Li et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

In-silico drug screening and potential target identification for hepatocellular carcinoma using Support Vector Machines based on drug screening result

(2012) Wu-Lung R. Yang et al.   GENE

Comprehensive molecular characterization of human colon and rectal cancer

(2012)   NATURE

Integrated Analysis of Gene Expression Profiles Associated with Response of Platinum/Paclitaxel-Based Treatment in Epithelial Ovarian Cancer

(2012) Yong Han et al.   PLoS One

A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

(2012) Sahand N. Negahban et al.   STATISTICAL SCIENCE

Histological, molecular and functional subtypes of breast cancers

(2011) Gautam K. Malhotra et al.   CANCER BIOLOGY & THERAPY

Integrated genomic analyses of ovarian carcinoma

(2011) D. Bell et al.   NATURE

The benefit of group sparsity

(2010) Junzhou Huang et al.   ANNALS OF STATISTICS

A gene expression signature identifies two prognostic subgroups of basal breast cancer

(2010) Renaud Sabatier et al.   BREAST CANCER RESEARCH AND TREATMENT

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Near-ideal model selection by ℓ 1 minimization

(2009) Emmanuel J. Candès et al.   ANNALS OF STATISTICS

Gene expression profiling and prediction of clinical outcome in ovarian cancer

(2009) Renaud Sabatier et al.   CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY

A prognostic gene expression index in ovarian cancer-validation across different independent data sets

(2009) Carsten Denkert et al.   JOURNAL OF PATHOLOGY

Compressive Sensing by Random Convolution

(2009) Justin Romberg   SIAM Journal on Imaging Sciences

The restricted isometry property and its implications for compressed sensing

(2008) Emmanuel J. Candès   COMPTES RENDUS MATHEMATIQUE

A Simple Proof of the Restricted Isometry Property for Random Matrices

(2008) Richard Baraniuk et al.   CONSTRUCTIVE APPROXIMATION

Prospective assessment of lymphatic dissemination in endometrial cancer: A paradigm shift in surgical staging

(2008) Andrea Mariani et al.   GYNECOLOGIC ONCOLOGY