Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.

1 Oct 2018

Abstract excerpt

Reverse-phase protein arrays (RPPAs) are a highthroughput approach to protein quantification utilizing antibody-based micro-to-nano scale dot blot. Within the Cancer Genome Atlas (TCGA), RPPAs were used to quantify over 200 proteins in 8,167 tumor and metastatic samples. Protein-level data has particular advantages in assessing putative prognostic or therapeutic targets in tumors. However, many of the available...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Advanced Biosensing Techniques and Applications
Share to Advanced Proteomics Techniques and Applications
Share to Monoclonal and Polyclonal Antibodies Research

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30345029
DOI: 10.12688/f1000research.15789.2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.PMID 30345029Read ↗

TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas.Semantic proximity Read ↗

PanCanSurvPlot: A Large-scale Pan-cancer Survival Analysis Web ApplicationSemantic proximity Read ↗

Analysis of clinical, single cell, and spatial data from the Human Tumor Atlas Network (HTAN) with massively distributed cloud-based queriesSemantic proximity Read ↗

CancerStop.dev: An Interactive Web Platform Integrating Prognostic Data, Clinical Trials, and Genomic Resources for Patient EmpowermentSemantic proximity Read ↗

EAP: a versatile cloud-based platform for comprehensive and interactive analysis of large-scale ChIP/ATAC-seq data setsSemantic proximity Read ↗

Simplified and unified access to cancer proteogenomic dataSemantic proximity Read ↗

Evaluating computational approaches for comparison of protein expression across cancer indicationsSemantic proximity Read ↗

Integration and analysis of CPTAC proteomics data in the context of cancer genomics in the cBioPortalSemantic proximity Read ↗

GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortalSemantic proximity Read ↗

PANOPLY: A cloud-based platform for automated and reproducible proteogenomic data analysisSemantic proximity Read ↗

A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction modelsSemantic proximity Read ↗

surviveR: a flexible shiny application for patient survival analysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.