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

CancerLivER: a database of liver cancer gene expression resources and biomarkers

1 Jan 2020

Abstract excerpt

Liver cancer is the fourth major lethal malignancy worldwide. To understand the development and progression of liver cancer, biomedical research generated a tremendous amount of transcriptomics and disease-specific biomarker data. However, dispersed information poses pragmatic hurdles to delineate the significant markers for the disease. Hence, a dedicated resource for liver cancer is required that integrates...

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: 32147717
DOI: 10.1093/database/baaa012

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

CancerLivER: a database of liver cancer gene expression resources and biomarkersPMID 32147717Read ↗

Comprehensive Transcriptomic Analysis of Hepatocellular Carcinoma: Uncovering Shared and Unique Molecular Signatures Across Diverse EtiologiesSemantic proximity Read ↗

<i>MS.liverK:</i> an R package for transcriptome-based computation of molecular subtypes and functional signatures in liver cancerSemantic proximity Read ↗

Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma using Large-scale Transcriptomics DataSemantic proximity Read ↗

From big data to diagnosis and prognosis: gene expression signatures in liver hepatocellular carcinomaSemantic proximity Read ↗

Novel hepatocellular carcinomas (HCC) Subtype-Specific BiomarkersSemantic proximity Read ↗

Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics DataSemantic proximity Read ↗

New biomarkers and therapeutic targets of human liver cancer: Transcriptomic findingsSemantic proximity Read ↗

Screening of Early Diagnostic Biomarkers and Prognostic Biomarkers for Liver Cancer Based on GEO and TCGA Databases and Studies on Pathways and Biological Functions Affecting the Survival Time of Liver CancerSemantic proximity Read ↗

Bioinformatics and machine learning driven key genes screening for hepatocellular carcinomaSemantic proximity Read ↗

Identification of Gene Signature as Diagnostic and Prognostic Blood Biomarker for Early Hepatocellular Carcinoma Using Integrated Cross-Species Transcriptomic and Network AnalysesSemantic proximity Read ↗

Identification of Key Genes in HCV-induced HCC at Early Stage on the Background of HCV-cirrhosisSemantic proximity Read ↗

Identification of Cholangiocarcinoma (CCA) Subtype-Specific BiomarkersSemantic proximity Read ↗

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