Predicting tumor cell line response to drug pairs with deep learning

MoleculeNet: a benchmark for molecular machine learning

(2018) Zhenqin Wu et al.   Chemical Science

Deep learning for computational chemistry

(2017) Garrett B. Goh et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells

(2017) Theodoros I. Roumeliotis et al.   Cell Reports

Proteomic profiling predicts drug response to novel targeted anticancer therapeutics

(2016) Fan Lin et al.   Expert Review of Proteomics

Molecular graph convolutions: moving beyond fingerprints

(2016) Steven Kearnes et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Deep learning for computational biology

(2016) Christof Angermueller et al.   Molecular Systems Biology

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

(2015) Junshui Ma et al.   Journal of Chemical Information and Modeling

Extremely high genetic diversity in a single tumor points to prevalence of non-Darwinian cell evolution

(2015) Shaoping Ling et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A community computational challenge to predict the activity of pairs of compounds

(2014) Mukesh Bansal et al.   NATURE BIOTECHNOLOGY

A community effort to assess and improve drug sensitivity prediction algorithms

(2014) James C Costello et al.   NATURE BIOTECHNOLOGY

An Ensemble Based Top Performing Approach for NCI-DREAM Drug Sensitivity Prediction Challenge

(2014) Qian Wan et al.   PLoS One

MicroRNAs in cancer: biomarkers, functions and therapy

(2014) Josie Hayes et al.   TRENDS IN MOLECULAR MEDICINE

Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

(2013) Michael P. Menden et al.   PLoS One

Profiles of Basal and Stimulated Receptor Signaling Networks Predict Drug Response in Breast Cancer Lines

(2013) M. Niepel et al.   Science Signaling

Global Proteome Analysis of the NCI-60 Cell Line Panel

(2013) Amin Moghaddas Gholami et al.   Cell Reports

CellMiner: A Web-Based Suite of Genomic and Pharmacologic Tools to Explore Transcript and Drug Patterns in the NCI-60 Cell Line Set

(2012) W. C. Reinhold et al.   CANCER RESEARCH

Predicting Drug Targets and Biomarkers of Cancer via Genome-Scale Metabolic Modeling

(2012) L. Jerby et al.   CLINICAL CANCER RESEARCH

Systematic identification of genomic markers of drug sensitivity in cancer cells

(2012) Mathew J. Garnett et al.   NATURE

MicroRNA pharmacogenomics: Post-transcriptional regulation of drug response

(2011) Jakob Lewin Rukov et al.   TRENDS IN MOLECULAR MEDICINE

Predicting in vitro drug sensitivity using Random Forests

(2010) Gregory Riddick et al.   BIOINFORMATICS

The COXEN Principle: Translating Signatures of In vitro Chemosensitivity into Tools for Clinical Outcome Prediction and Drug Discovery in Cancer

(2010) S. C. Smith et al.   CANCER RESEARCH

Role of microRNA in anticancer drug resistance

(2009) Tongsen Zheng et al.   INTERNATIONAL JOURNAL OF CANCER