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

Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer

18 Dec 2013

Abstract excerpt

In the last decade, optimized treatment for non-small cell lung cancer had lead to improved prognosis, but the overall survival is still very short. To further understand the molecular basis of the disease we have to identify biomarkers related to survival. Here we present the development of an online tool suitable for the real-time meta-analysis of published lung cancer microarray datasets to identify biomarkers...

Read the complete abstract on PubMed

Topics

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

Share to Lung Cancer Treatments and Mutations
Share to Radiomics and Machine Learning in Medical Imaging
Share to RNA modifications and cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 24367507
DOI: 10.1371/journal.pone.0082241

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung CancerPMID 24367507Read ↗

Transcriptome‐level discovery of survival‐associated biomarkers and therapy targets in non‐small‐cell lung cancerSemantic proximity Read ↗

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

GeneSurv: Multi-Gene Cancer Survival Analysis ToolSemantic proximity Read ↗

Lung Cancer Explorer (LCE): an open web portal to explore gene expression and clinical associations in lung cancerSemantic proximity Read ↗

Gene expression-based identification of prognostic markers in lung adenocarcinomaSemantic proximity Read ↗

Integration of Clinicopathological And Genomic Features To Predict The Risk Stratification of TCGA Lung Adenocarcinoma And Lung Squamous Cell Carcinoma PatientsSemantic proximity Read ↗

LCE: an open web portal to explore gene expression and clinical associations in lung cancerSemantic proximity Read ↗

Biomarker Discovery in Non–Small Cell Lung Cancer: Integrating Gene Expression Profiling, Meta-analysis, and Tissue Microarray ValidationSemantic proximity Read ↗

Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung CancerSemantic proximity Read ↗

Identification of seven-gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi-omics data analysis.Semantic proximity Read ↗

Integrated Multi-Omics and Transcriptomic Validation Analysis of TP53, ATM, BRCA1, EGFR, and KRAS Reveals Prognostic Significance in Lung CancerSemantic proximity Read ↗

Development of a RNA-Seq Based Prognostic Signature in Lung Adenocarcinoma.Semantic proximity Read ↗

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