Article

<b>PANOPLY:</b> Omics-guided drug prioritization method tailored to an individual patient

2017-08-15

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> The majority of cancer patients receive treatments that are minimally informed by omics data. We propose a precision medicine computational framework (PANOPLY: P recision c a ncer ge no mic re p ort: single samp l e inventor y ) to identify and prioritize drug targets and cancer therapy regimens. <h4>Methods</h4> The PANOPLY approach integrates clinical data with germli...

Topics

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

Identifiers and source

Literature Corpus work: a124df85-abcc-539d-bf5e-3a9198a70e8d
DOI: 10.1101/176396

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

<b>PANOPLY:</b> Omics-guided drug prioritization method tailored to an individual patientDOI 10.1101/176396Read

Integrative omics analyses broaden treatment targets in human cancer.Semantic proximity Read

A precision oncology-focused deep learning framework for personalized selection of cancer therapySemantic proximity Read

A network model for patient-derived drug response in breast cancer integrating multi-omics datasetsSemantic proximity Read

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approachSemantic proximity Read

CAN-Scan: A multi-omic phenotype-driven precision oncology platform identifies prognostic biomarkers of therapy response for colorectal cancerSemantic proximity Read

Bioinformatics roadmap for therapy selection in cancer genomicsSemantic proximity Read

Precision medicine in the era of multi-omics: can the data tsunami guide rational treatment decision?Semantic proximity Read

GenesetDiseaseDrugNetwork (GDDN): a web server for disease enrichment and drug prioritizationSemantic proximity Read

Precision medicine in colorectal cancer: Leveraging multi-omics, spatial omics, and artificial intelligenceSemantic proximity Read

DrDimont: Explainable drug response prediction from differential analysis of multi-omics networksSemantic proximity Read

Pan-Cancer Biomarker Analysis from the Cancer Dependency Map: A Blueprint for Precision OncologySemantic proximity Read

MOLI: Multi-Omics Late Integration with deep neural networks for drug response predictionSemantic proximity Read