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

The research on gene-disease association based on text-mining of PubMed.

BMC bioinformatics - 7 Feb 2018

Zhou Jie, Fu Bo-Quan

Abstract excerpt

BACKGROUND: The associations between genes and diseases are of critical significance in aspects of prevention, diagnosis and treatment. Although gene-disease relationships have been investigated extensively, much of the underpinnings of these associations are yet to be elucidated. METHODS: A novel method integrates MeSH database, term weight (TW), and co-occurrence methods to predict gene-disease associations...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Data Mining
Share to Databases, Factual

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Association Studies

Share to Genetic Predisposition to Disease

Share to PubMed

Source

Open in PubMed Open full text

Identifiers

PMID: 29415654
DOI: 10.1186/s12859-018-2048-y
PMCID: PMC5804013

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The research on gene-disease association based on text-mining of PubMed.PMID 29415654Read ↗

[Review on the research progress of mining of OMIM data].Semantic proximity Read ↗

OUGene 2.0: An updated disease-associated over- and under-expressed gene database by mining full-text articlesSemantic proximity Read ↗

Biomedical data, computational methods and tools for evaluating disease-disease associations.Semantic proximity Read ↗

A literature-driven method to calculate similarities among diseases.Semantic proximity Read ↗

IMA: Identifying disease-related genes using MeSH terms and association rules.Semantic proximity Read ↗

Predicting disease-related genes using integrated biomedical networks.Semantic proximity Read ↗

A text-mining technique for extracting gene-disease associations from the biomedical literature.Semantic proximity Read ↗

A Comprehensive Multi-Dimensional Disease Similarity Computation Framework for miRNA-Disease Association PredictionSemantic proximity Read ↗

Developing an NLP and IR-based algorithm for analyzing gene-disease relationships.Semantic proximity Read ↗

EdgeMarker: Identifying differentially correlated molecule pairs as edge-biomarkers.Semantic proximity Read ↗

Measuring the Importance of Vertices in the Weighted Human Disease NetworkSemantic proximity Read ↗

Linking the clinical vocabulary of diseases to the genes by mapping UMLS to OMIM allelic variant fields.Semantic proximity Read ↗

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