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

A 20-Gene Set Predictive of Progression to Severe Dengue

1 Jan 2019

Abstract excerpt

There is a need to identify biomarkers predictive of severe dengue. Single-cohort transcriptomics has not yielded generalizable results or parsimonious, predictive gene sets. We analyzed blood samples of dengue patients from seven gene expression datasets (446 samples, five countries) using an integrated multi-cohort analysis framework and identified a 20-gene set that predicts progression to severe dengue. We...

Read the complete abstract on PubMed

Topics

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

Share to Malaria Research and Control
Share to Mosquito-borne diseases and control
Share to Viral Infections and Vectors

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30699342
DOI: 10.1016/j.celrep.2019.01.033

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

A 20-Gene Set Predictive of Progression to Severe DenguePMID 30699342Read ↗

Unraveling potential gene biomarkers for dengue infection through RNA sequencingSemantic proximity Read ↗

An 8-gene machine learning model improves clinical prediction of severe dengue progressionSemantic proximity Read ↗

Identification of Stage-related and Severity-Related Biomarkers and Exploration of Immune Landscape for Dengue by Comprehensive AnalysesSemantic proximity Read ↗

Genome-Wide Expression Profiling Deciphers Host Responses Altered during Dengue Shock Syndrome and Reveals the Role of Innate Immunity in Severe DengueSemantic proximity Read ↗

Analysis of gene expression profile for identification of novel gene signatures during dengue infectionSemantic proximity Read ↗

Comparative Study of Gene Expression Profiling Unravels Functions Associated with Pathogenesis of Dengue InfectionSemantic proximity Read ↗

Early transcriptomic host response signatures in the serum of dengue patients provides insights into clinical pathogenesis and disease severitySemantic proximity Read ↗

Gene Expression Profiling during Early Acute Febrile Stage of Dengue Infection Can Predict the Disease OutcomeSemantic proximity Read ↗

Differences in Global Gene Expression in Peripheral Blood Mononuclear Cells Indicate a Significant Role of the Innate Responses in Progression of Dengue Fever but Not Dengue Hemorrhagic FeverSemantic proximity Read ↗

Integrative bulk and single‐cell transcriptome profiling analysis reveals IFI27 as a novel interferon‐stimulated gene in dengueSemantic proximity Read ↗

Differential Gene Expression Changes in Children with Severe Dengue Virus InfectionsSemantic proximity Read ↗

RNA-Seq analysis of peripheral blood mononuclear cells reveals unique transcriptional signatures associated with disease progression in dengue patientsSemantic proximity Read ↗

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