Comprehensive anticancer drug response prediction based on a simple cell line-drug complex network model

Drug Response Prediction as a Link Prediction Problem

(2017) Zachary Stanfield et al.   Scientific Reports

Genome and network visualization facilitates the analyses of the effects of drugs and mutations on protein-protein and drug-protein networks

(2016) Arnaud Céol et al.   BMC BIOINFORMATICS

Nearest neighbor imputation algorithms: a critical evaluation

(2016) Lorenzo Beretta et al.   BMC Medical Informatics and Decision Making

Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models

(2015) Steffen Falgreen et al.   BMC CANCER

Anticancer drug sensitivity prediction in cell lines from baseline gene expression through recursive feature selection

(2015) Zuoli Dong et al.   BMC CANCER

Health: Make precision medicine work for cancer care

(2015) Mark A. Rubin   NATURE

Ten things we have to do to achieve precision medicine

(2015) I. S. Kohane   SCIENCE

Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patients

(2015) D. Fey et al.   Science Signaling

Predicting Anticancer Drug Responses Using a Dual-Layer Integrated Cell Line-Drug Network Model

(2015) Naiqian Zhang et al.   PLoS Computational Biology

Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patients

(2015) D. Fey et al.   Science Signaling

A p-Median approach for predicting drug response in tumour cells

(2014) Elisabetta Fersini et al.   BMC BIOINFORMATICS

A community effort to assess and improve drug sensitivity prediction algorithms

(2014) James C Costello et al.   NATURE BIOTECHNOLOGY

Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines

(2014) Paul Geeleher et al.   GENOME BIOLOGY

Inconsistency in large pharmacogenomic studies

(2013) Benjamin Haibe-Kains et al.   NATURE

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

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

Prediction Errors in Learning Drug Response from Gene Expression Data – Influence of Labeling, Sample Size, and Machine Learning Algorithm

(2013) Immanuel Bayer 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

Modeling precision treatment of breast cancer

(2013) Anneleen Daemen et al.   GENOME BIOLOGY

Systematic identification of genomic markers of drug sensitivity in cancer cells

(2012) Mathew J. Garnett et al.   NATURE

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

(2012) Jordi Barretina et al.   NATURE

Building the process-drug–side effect network to discover the relationship between biological Processes and side effects

(2011) Sejoon Lee et al.   BMC BIOINFORMATICS

Open Babel: An open chemical toolbox

(2011) Noel M O'Boyle et al.   Journal of Cheminformatics

Structural similarity assessment for drug sensitivity prediction in cancer

(2009) Pavithra Shivakumar et al.   BMC BIOINFORMATICS