Article

OncoRep: An n-of-1 reporting tool to support genome-guided treatment for breast cancer patients using RNA-sequencing

2014-09-03

Abstract excerpt

Breast cancer comprises multiple tumor entities associated with different biological features and clinical behaviors, making individualized medicine a powerful tool to bring the right drug to the right patient. Next generation sequencing of RNA (RNA-Seq) is a suitable method to detect targets for individualized treatment. Challenges that arise are i) preprocessing and analyzing RNA-Seq data in the n-of-1 setting,...

Topics

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

Identifiers and source

Literature Corpus work: 8c392992-c952-5fd5-bfa0-a6045f5e70f1
DOI: 10.1101/008748

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

OncoRep: An n-of-1 reporting tool to support genome-guided treatment for breast cancer patients using RNA-sequencingDOI 10.1101/008748Read

Real-world Evidence of Diagnostic Testing and Treatment Patterns in U.S. Breast Cancer Patients with Implications for Treatment Biomarkers from RNA-sequencing DataSemantic proximity Read

The mutational landscape of the SCAN-B real-world primary breast cancer transcriptome.Semantic proximity Read

Integration of RNA Editing with Multiomics Data Improves Machine Learning Models for Predicting Drug Responses in Breast Cancer PatientsSemantic proximity Read

Breast cancer: The translation of big genomic data to cancer precision medicine.Semantic proximity Read

CanSeer: A Method for Development and Clinical Translation of Personalized Cancer TherapeuticsSemantic proximity Read

The Multi-Omic Transformation of Breast Cancer Diagnostics: A Comprehensive Review of the Transition from Immunohistochemistry to Liquid Biopsy and Next-Generation SequencingSemantic proximity Read

Utility of public knowledge bases for the interpretation of comprehensive tumor molecular profiling results.Semantic proximity Read

Retrospective multi-cohort validation of a real-world transcriptomics-guided machine learning model for treatment response prediction in breast cancerSemantic proximity Read

An open-source clinical bioinformatics pipeline for real-world NGS implementation: translating genomic variants into actionable treatment strategies in oncology.Semantic proximity Read

OncoReport: a system for integrative NGS analysis in precision medicineSemantic proximity Read

Real-world Evidence of Diagnostic Testing and Treatment Patterns in US Patients With Breast Cancer With Implications for Treatment Biomarkers From RNA Sequencing DataSemantic proximity Read

The Mutational Landscape of the SCAN-B Real-World Primary Breast Cancer TranscriptomeSemantic proximity Read