Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

(2016) David N. Louis et al.   ACTA NEUROPATHOLOGICA

Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma

(2016) Michele Ceccarelli et al.   CELL

Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters

(2016) Yifeng Li et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer

(2016) Fatima Cardoso et al.   NEW ENGLAND JOURNAL OF MEDICINE

Identification and Construction of Combinatory Cancer Hallmark–Based Gene Signature Sets to Predict Recurrence and Chemotherapy Benefit in Stage II Colorectal Cancer

(2016) Shanwu Gao et al.   JAMA Oncology

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

The Molecular Signatures Database Hallmark Gene Set Collection

(2015) Arthur Liberzon et al.   Cell Systems

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent

(2015) Noah Simon et al.   Journal of Statistical Software

Random survival forests for competing risks

(2014) H. Ishwaran et al.   BIOSTATISTICS

Most Human Non-GCIMP Glioblastoma Subtypes Evolve from a Common Proneural-like Precursor Glioma

(2014) Tatsuya Ozawa et al.   CANCER CELL

Molecular mechanisms of epithelial–mesenchymal transition

(2014) Samy Lamouille et al.   NATURE REVIEWS MOLECULAR CELL BIOLOGY

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Multigene Expression Assay to Predict Local Recurrence Risk for Ductal Carcinoma In Situ of the Breast

(2013) L. J. Solin et al.   JNCI-Journal of the National Cancer Institute

The transcriptional coactivator TAZ regulates mesenchymal differentiation in malignant glioma

(2011) K. P. L. Bhat et al.   GENES & DEVELOPMENT

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

(2010) Roel G.W. Verhaak et al.   CANCER CELL

Identification of high-quality cancer prognostic markers and metastasis network modules

(2010) Jie Li et al.   Nature Communications

The transcriptional network for mesenchymal transformation of brain tumours

(2009) Maria Stella Carro et al.   NATURE