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

A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.

European journal of pain (London, England) - 1 Nov 2018

Kringel D, Lippmann C, Parnham M J, Kalso E, Ultsch A, Lötsch J

Abstract excerpt

BACKGROUND: Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine-learning techniques may combine this knowledge with results of genetic research gathered in any context, which permits the identification of the key biological processes involved in chronic sensitization to pain. METHODS: Based on published...

Read the complete abstract on PubMed

Topics

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

Share to Cluster Analysis
Share to Machine Learning

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Polymorphism, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 29923268
DOI: 10.1002/ejp.1270
PMCID: PMC6220816

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.PMID 29923268Read ↗

Integrated Computational Analysis of Genes Associated with Human Hereditary Insensitivity to Pain. A Drug Repurposing PerspectiveSemantic proximity Read ↗

Genetic susceptibility and development of chronic non-malignant back pain.Semantic proximity Read ↗

A data science approach to candidate gene selection of pain regarded as a process of learning and neural plasticity.Semantic proximity Read ↗

Machine-learned analysis of the association of next-generation sequencing-based genotypes with persistent pain after breast cancer surgery.Semantic proximity Read ↗

A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain.Semantic proximity Read ↗

Decomposing the genetic background of chronic back painSemantic proximity Read ↗

The pain interactome: Connecting pain-specific protein interactionsSemantic proximity Read ↗

Using the DNA methylation profile of the stress driver gene <i>FKBP5</i> for chronic pain diagnosisSemantic proximity Read ↗

Systems biology-based approaches to summarize and identify novel genes and pathways associated with acute and chronic postsurgical pain.Semantic proximity Read ↗

Multivariate prognostic modeling of persistent pain following lumbar discectomy.Semantic proximity Read ↗

A DNA methylation signature in the stress driver gene Fkbp5 indicates a neuropathic component in chronic painSemantic proximity Read ↗

Whole blood transcriptomic profiles can differentiate vulnerability to chronic low back painSemantic proximity Read ↗

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