The CFDE Data Distillery Partnership Project, led by the CFDE HuBMAP, SenNet, and Kids First teams, from Pitt and Children's Hospital of Philadelphia (CHOP) has developed a Data Distillery Knowledge Graph (DDKG), which distills Common Fund data with semantic interoperability, to support integrative biomedical research questions and scientific use cases.
This repo represents the contributions of the IDG-DCC team at the University of New Mexico. The IDG team has focused on including IDG datasets into the DDKG, and developing IDG scientific use cases combining datasets from IDG and multiple other Common Fund programs. The IDG team brings to this project a strong record of research in KG design, analytics and KG-based ML.
All input and output files are here: https://drive.google.com/drive/folders/1eUcYVayYHM90ESrQqpx8GAcEYOXUCr-i and https://chiltepin.health.unm.edu/x/cfde/distillery/data/