Integrating Common Fund Program Datasets for Feature Selection and Machine Learning
Dr. Deanne M. Taylor will present a graph database that enables users to search and grow relationships between genes, variants, and pathways on relevant genomic locations of interest. This graph database is modeled on structures in NIH’s Unified Medical Language System (UMLS) and comprises an integration of biological knowledge extracted from five NIH Common Fund data sets. Graph database users can query for select features to study new variant-to-variant and gene-to-gene relationships in genetic cohorts and determine other types of complex relationships among entities in NIH’s Common Fund data sets and UMLS annotations.
Data are derived from five Common Fund data sets:
Dr. Deanne M. Taylor is the director of bioinformatics in the Department of Biomedical and Health Informatics at The Children's Hospital of Philadelphia Research Institute and a research assistant professor of pediatrics at the University of Pennsylvania Perelman School of Medicine.