T. Michael Yates

Domain-wide Mapping of Peer-reviewed Literature for Genetic Developmental Disorders using Machine Learning and Gene2Phenotype

The paper develops an automated pipeline to map genetic developmental disorder literature to Gene2Phenotype using NLP models, achieving high accuracy and scalability for biocuration.

Curating genomic disease-gene relationships with Gene2Phenotype

The paper describes a structured curation process for the Gene2Phenotype project to systematically evaluate and organize genomic disease-gene relationships.

The Gene Curation Coalition: A global effort to harmonize gene-disease evidence resources

The paper describes the formation of the Gene Curation Coalition to standardize gene-disease validity terminology and create a unified database for curated gene-disease assertions.

Creation and evaluation of full-text literature-derived, feature-weighted disease models of genetically determined developmental disorders

The paper develops automated methods to extract phenotypic features from literature to improve disease modeling for developmental disorders, showing increased accuracy over manual curation.