A survey and systematic assessment of computational methods for drug response prediction

Drug sensitivity prediction with high-dimensional mixture regression

(2019) Qianyun Li et al.   PLoS One

Kernelized rank learning for personalized drug recommendation

(2018) Xiao He et al.   BIOINFORMATICS

RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines

(2018) Amrita Basu et al.   BIOINFORMATICS

Learning with multiple pairwise kernels for drug bioactivity prediction

(2018) Anna Cichonska et al.   BIOINFORMATICS

Predicting Cancer Drug Response using a Recommender System

(2018) Chayaporn Suphavilai et al.   BIOINFORMATICS

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia

(2018) Su-In Lee et al.   Nature Communications

Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature

(2018) Yoosup Chang et al.   Scientific Reports

Linking drug target and pathway activation for effective therapy using multi-task learning

(2018) Mi Yang et al.   Scientific Reports

A novel heterogeneous network-based method for drug response prediction in cancer cell lines

(2018) Fei Zhang et al.   Scientific Reports

Drug development in the era of precision medicine

(2017) Sarah A. Dugger et al.   NATURE REVIEWS DRUG DISCOVERY

TANDEM: a two-stage approach to maximize interpretability of drug response models based on multiple molecular data types

(2016) Nanne Aben et al.   BIOINFORMATICS

Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization

(2016) Muhammad Ammad-ud-din et al.   BIOINFORMATICS

Intra- and interspecies gene expression models for predicting drug response in canine osteosarcoma

(2016) Jared S. Fowles et al.   BMC BIOINFORMATICS

Pathway-Based Genomics Prediction using Generalized Elastic Net

(2016) Artem Sokolov et al.   PLoS Computational Biology

rcellminer: exploring molecular profiles and drug response of the NCI-60 cell lines in R

(2015) Augustin Luna et al.   BIOINFORMATICS

Correlating chemical sensitivity and basal gene expression reveals mechanism of action

(2015) Matthew G Rees et al.   Nature Chemical 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

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

The Molecular Signatures Database Hallmark Gene Set Collection

(2015) Arthur Liberzon et al.   Cell Systems

A community effort to assess and improve drug sensitivity prediction algorithms

(2014) James C Costello et al.   NATURE BIOTECHNOLOGY

Inconsistency in large pharmacogenomic studies

(2013) Benjamin Haibe-Kains et al.   NATURE

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

Cell lines battle cancer

(2012) John N. Weinstein   NATURE

Predicting in vitro drug sensitivity using Random Forests

(2010) Gregory Riddick et al.   BIOINFORMATICS

PaDEL-descriptor: An open source software to calculate molecular descriptors and fingerprints

(2010) Chun Wei Yap   JOURNAL OF COMPUTATIONAL CHEMISTRY

Pharmacogenetics in drug discovery and development: a translational perspective

(2008) Allen D. Roses   NATURE REVIEWS DRUG DISCOVERY