Doc2Hpo

Doc2Hpo extracts and normalizes Human Phenotype Ontology (HPO) concepts from clinical text to support phenotype curation and downstream analyses such as gene prioritization.

Key Features:

• Automated Concept Normalization: Normalizes clinical text into standardized HPO concepts.
• NLP-Based Concept Extraction: Uses natural language processing (NLP) techniques to identify phenotype mentions in clinical text.
• Export for Downstream Analysis: Exports curated HPO concepts for use in gene prioritization and other downstream analyses.
• Evaluation of Accuracy and Efficiency: Demonstrated reduced manual effort and high accuracy in HPO concept curation.

Scientific Applications:

• Gene Prioritization: Provides HPO-curated phenotype inputs for gene prioritization analyses.
• Phenotype–Genotype Correlation: Facilitates phenotype–genotype correlation studies in genetics and genomics.
• Personalized Medicine and Disease Gene Identification: Aids integration of phenotypic data and identification of disease-associated genes for personalized medicine.

Methodology:

Processes clinical text with natural language processing (NLP) techniques to extract phenotype mentions and normalizes them against the Human Phenotype Ontology (HPO) database.