How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database

A computational framework for converting textual clinical diagnostic criteria into the quality data model

(2016) Na Hong et al.   JOURNAL OF BIOMEDICAL INFORMATICS

MAP kinases and the inflammatory signaling cascade as targets for the treatment of endometriosis?

(2015) Pietro Santulli et al.   EXPERT OPINION ON THERAPEUTIC TARGETS

Phenolyzer: phenotype-based prioritization of candidate genes for human diseases

(2015) Hui Yang et al.   NATURE METHODS

Independent Replication and Meta-Analysis for Endometriosis Risk Loci

(2015) Yadav Sapkota et al.   Twin Research and Human Genetics

Update on Biomarkers for the Detection of Endometriosis

(2015) Amelie Fassbender et al.   Biomed Research International

GNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein Domains

(2015) Chih-Hsuan Wei et al.   Biomed Research International

ESHRE guideline: management of women with endometriosis

(2014) G. A. J. Dunselman et al.   HUMAN REPRODUCTION

PubTator: a web-based text mining tool for assisting biocuration

(2013) Chih-Hsuan Wei et al.   NUCLEIC ACIDS RESEARCH

Text-mining solutions for biomedical research: enabling integrative biology

(2012) Dietrich Rebholz-Schuhmann et al.   NATURE REVIEWS GENETICS

Endometriosis

(2010) Linda C. Giudice   NEW ENGLAND JOURNAL OF MEDICINE

The search for genes contributing to endometriosis risk

(2008) Grant W. Montgomery et al.   HUMAN REPRODUCTION UPDATE