Article

A statistical framework for assessing pharmacological response and biomarkers using uncertainty estimates

2020-05-03

Abstract excerpt

Drug high-throughput screenings across large molecular-characterised cancer cell line panels enable the discovery of biomarkers, and thereby, cancer precision medicine. The ability to experimentally generate drug response data has accelerated. However, this data is typically quantified by a summary statistic from a best-fit dose response curve, whilst neglecting the uncertainty of the curve fit and the potential v...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4249201e-07b6-5f39-a824-407b1db5d3af
DOI: 10.1101/2020.05.01.072983

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A statistical framework for assessing pharmacological response and biomarkers using uncertainty estimatesDOI 10.1101/2020.05.01.072983Read

Multi-output prediction of dose-response curves enable drug repositioning and biomarker discoverySemantic proximity Read

Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical modelsSemantic proximity Read

Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning ModelsSemantic proximity Read

Genetic dose-response modelling predicts drug mechanisms, dosing, and adverse eventsSemantic proximity Read

Assessment of pharmacogenomic agreementSemantic proximity Read

Assessment of pharmacogenomic agreementSemantic proximity Read

Uncertainty-Aware Deep Learning for Multi-Metric and Dose-Specific Prediction of Drug SynergySemantic proximity Read

Population-based in vitro hazard and concentration-response assessment of chemicals: the 1000 genomes high-throughput screening study.Semantic proximity Read

A Bayesian Precision Medicine Framework for Calibrating Individualized Therapeutic Indices in CancerSemantic proximity Read

Simulation of cancer cell line pharmacogenomics data to optimise experimental design and analysis strategySemantic proximity Read

Connecting Small Molecules with Similar Assay Performance Profiles Leads to New Biological Hypotheses.Semantic proximity Read

Uncertainty in the Era of Precision Medicine.Semantic proximity Read