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

LCE: an open web portal to explore gene expression and clinical associations in lung cancer

7 Dec 2018

Abstract excerpt

We constructed a lung cancer-specific database housing expression data and clinical data from over 6700 patients in 56 studies. Expression data from 23 genome-wide platforms were carefully processed and quality controlled, whereas clinical data were standardized and rigorously curated. Empowered by this lung cancer database, we created an open access web resource-the Lung Cancer Explorer (LCE), which enables...

Read the complete abstract on PubMed

Topics

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

Share to Bioinformatics and Genomic Networks
Share to Ferroptosis and cancer prognosis
Share to Gene expression and cancer classification

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30532070
DOI: 10.1038/s41388-018-0588-2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

LCE: an open web portal to explore gene expression and clinical associations in lung cancerPMID 30532070Read ↗

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

Multi-omics Data Analyses Construct TME and Identify the Immune-Related Prognosis Signatures in Human LUADSemantic proximity Read ↗

Systematic Analysis of Gene Expression in Lung Adenocarcinoma and Squamous Cell Carcinoma with a Case Study of FAM83A and FAM83BSemantic proximity Read ↗

A risk model including eight tumor microenvironment-related genes for prediction of lung cancer prognosisSemantic proximity Read ↗

Gene Expression Analysis and Validation of a Novel Biomarker Signature for Early-Stage Lung AdenocarcinomaSemantic proximity Read ↗

Multi‑omics identification of a signature based on malignant cell-associated ligand–receptor genes for lung adenocarcinomaSemantic proximity Read ↗

Identification of pivotal genes with prognostic evaluation value in lung adenocarcinoma by bioinformatics analysisSemantic proximity Read ↗

Integrating genetic mutations and expression profiles for survival prediction of lung adenocarcinomaSemantic proximity Read ↗

UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival AnalysesSemantic proximity Read ↗

Distinct Expression Pattern and Prognostic Values of E2F Family Genes in Lung Adenocarcinoma and Squamous Cell CarcinomaSemantic proximity Read ↗

Ligand-receptor interaction atlas within and between tumor cells and T cells in lung adenocarcinomaSemantic proximity Read ↗

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

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