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

Regulatory Network Analysis to Reveal Important miRNAs and Genes in Non-Small Cell Lung Cancer.

1 Jan 2020

Abstract excerpt

OBJECTIVE: Lung cancer has high incidence and mortality rate, and non-small cell lung cancer (NSCLC) takes up approximately 85% of lung cancer cases. This study is aimed to reveal miRNAs and genes involved in the mechanisms of NSCLC. MATERIALS AND METHODS: In this retrospective study, GSE21933 (21 NSCLC samples and 21 normal samples), GSE27262 (25 NSCLC samples and 25 normal samples), GSE43458 (40 NSCLC samples...

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 MicroRNA in disease regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31376328
DOI: 10.22074/cellj.2020.6281

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Regulatory Network Analysis to Reveal Important miRNAs and Genes in Non-Small Cell Lung Cancer.PMID 31376328Read ↗

A mRNA-miRNA-lncRNA regulatory network related to potential pathogenesis and prognostic markers of Non- small cell lung cancerSemantic proximity Read ↗

Identification of 10 Important Genes with Poor Prognosis in Non-small cell Lung Cancer through Bioinformatical AnalysisSemantic proximity Read ↗

Identification of key genes in non-small cell lung cancer by bioinformatics analysisSemantic proximity Read ↗

Transcriptome Analysis of lncRNA-mRNA Interactions in the Non-Small Cell Lung CancerSemantic proximity Read ↗

Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA‑gene pairs in small‑cell lung cancerSemantic proximity Read ↗

Identification of key differentially expressed genes associated with non‑small cell lung cancer by bioinformatics analysesSemantic proximity Read ↗

Hub genes and key pathways of non‑small lung cancer identified using bioinformaticsSemantic proximity Read ↗

Identification and validation of key genes associated with non‐small‐cell lung cancerSemantic proximity Read ↗

Construction and evaluation of a prognostic risk model of tumor metastasis-related genes in patients with non-small cell lung cancerSemantic proximity Read ↗

Identification key genes, key miRNAs and key transcription factors of lung adenocarcinomaSemantic proximity Read ↗

Identification of Biomarker Signatures and Candidate Drugs in Non-Small Cell Lung CancerSemantic proximity Read ↗

Screening of biomarkers for lung cancer with gene expression profiling data.Semantic proximity Read ↗

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