Article

Bimodality of gene expression in cancer patient tumors as interpretable biomarkers for drug sensitivity

2020-09-09

Abstract excerpt

<h4>ABSTRACT</h4> Identifying biomarkers predictive of cancer cells’ response to drug treatment constitutes one of the main challenges in precision oncology. Recent large-scale cancer pharmacogenomic studies have boosted the research for finding predictive biomarkers by profiling thousands of human cancer cell lines at the molecular level and screening them with hundreds of approved drugs and experimental chemica...

Topics

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

Identifiers and source

Literature Corpus work: edaee782-e116-5b1f-b32f-f44d0ead7e51
DOI: 10.1101/2020.09.08.288688

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Bimodality of gene expression in cancer patient tumors as interpretable biomarkers for drug sensitivityDOI 10.1101/2020.09.08.288688Read

A Clear, Legible, Explainable, Transparent, and Elucidative (CLETE) Binary Classification Platform for Tabular DataSemantic proximity Read

Dr.Paso: Drug response prediction and analysis system for oncology researchSemantic proximity Read

BKDRP: A Biological Knowledge-Driven Approach for Drug Response Prediction Using Multi-Omics Data in Cancer Cell LinesSemantic proximity Read

Predicting Tumor Response to Drugs based on Gene-Expression Biomarkers of Sensitivity Learned from Cancer Cell LinesSemantic proximity Read

Pan-Cancer Drug Sensitivity Prediction from Gene Expression using Deep LearningSemantic proximity Read

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

Predicting Tumor Response to Drugs Based on Gene-expression Biomarkers of Sensitivity Learned From Cancer Cell LinesSemantic proximity Read

A new genome-wide method to identify genes with bimodal gene expressionSemantic proximity Read

Gene expression has more power for predicting <i>in vitro</i> cancer cell vulnerabilities than genomicsSemantic proximity Read

Learning and actioning general principles of cancer cell drug sensitivitySemantic proximity Read

Dose-dependent modeling of combinatorial drug responses stratifies patient survival and reveals therapeutic vulnerabilities in precision oncologySemantic proximity Read

DrugSAGE: an aggregation-based method for drug response imputationSemantic proximity Read