Daniel R. Korn

According to our database, Daniel R. Korn authored at least 18 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Epilepsy disease classification: a community effort to enhance the Mondo Disease Ontology.

Nicole A. Vasilevsky, Sarah Gehrke, Kathleen R. Mullen, Subit Barua, Ian Braun, Tobias Brünger, Curtis Coughlin, Alina Ivaniuk, Daniel R. Korn, Dennis Lal, Stephanie Marsh, Elaine O'loughlin, Daniel Olson, Yousif Shwetar, Christalena Sofocleous, Vanessa Vogel-Farley, Heidi Grabenstatter, Melissa Haendel, Christopher J. Mungall, Sabrina Toro

Database J. Biol. Databases Curation, 2026

2025

Chemical classification program synthesis using generative artificial intelligence.

Christopher J. Mungall, Adnan Malik, Daniel R. Korn, Justin T. Reese, Noel M. O'Boyle, Janna Hastings

J. Cheminformatics, December, 2025

Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework.

Yasemin Bridges, Vinicius de Souza, Katherina G. Cortes, Melissa A. Haendel, Nomi L. Harris, Daniel R. Korn, Nikolaos M. Marinakis, Nicolas Matentzoglu, James A. McLaughlin, Christopher J. Mungall, Aaron Odell, David Osumi-Sutherland, Peter N. Robinson, Damian Smedley, Julius O. B. Jacobsen

BMC Bioinform., December, 2025

Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX.

Daniel R. Korn, Patrick Golden, Aaron Odell, Katherina G. Cortes, Shilpa Sundar, Kevin Schaper, Sarah Gehrke, Corey Cox, J. Harry Caufield, Justin T. Reese, Evan Morris, Christopher J. Mungall, Melissa A. Haendel

CoRR, September, 2025

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering.

Madan Krishnamurthy, Daniel R. Korn, Melissa A. Haendel, Christopher J. Mungall, Anne E. Thessen

CoRR, June, 2025

Towards Improving the Efficiency of Drug Repurposing by Leveraging Node Promiscuity in Biomedical Knowledge Graphs.

Daniel R. Korn, Pei-Yu Hou, Kara Schatz, Jon-Michael Beasley, Alexander Tropsha, Rada Chirkova

ACM Trans. Comput. Heal., January, 2025

monarchr: an R package for querying biomedical knowledge graphs.

Shawn T. O'Neil, Brian M. Schilder, Kevin Schaper, Corey Cox, Daniel R. Korn, Sarah Gehrke, Christopher J. Mungall, Melissa A. Haendel

Bioinform., 2025

2024

ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining.

Jon-Michael Beasley, Daniel R. Korn, Nyssa N. Tucker, Erick T. M. Alves, Eugene N. Muratov, Chris Bizon, Alexander Tropsha

Bioinform., 2024

FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns.

Daniel R. Korn, Jon-Michael Beasley, Kara Schatz, Pei-Yu Hou, Alexander Tropsha, Rada Chirkova

Proceedings of the IEEE International Conference on Big Data, 2024

2022

Exploration of Domain-Specific Knowledge graphs for Testable Hypothesis Generation.

Daniel Robert Korn

PhD thesis, 2022

Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific Pathways.

Pei-Yu Hou, Daniel Robert Korn, Cleber C. Melo-Filho, David R. Wright, Alexander Tropsha, Rada Chirkova

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG.

Kara Schatz, Daniel R. Korn, Alexander Tropsha, Rada Chirkova

Proceedings of the IEEE International Conference on Big Data, 2022

2021

COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug-Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19.

Daniel Robert Korn, Vera Pervitsky, Tesia M. Bobrowski, Vinicius M. Alves, Charles Schmitt, Chris Bizon, Nancy Baker, Rada Chirkova, Artem Cherkasov, Eugene N. Muratov, Alexander Tropsha

J. Chem. Inf. Model., 2021

ZINC Express: A Virtual Assistant for Purchasing Compounds Annotated in the ZINC Database.

Tesia M. Bobrowski, Daniel Robert Korn, Eugene N. Muratov, Alexander Tropsha

J. Chem. Inf. Model., 2021

COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database.

Daniel Robert Korn, Tesia M. Bobrowski, Michael Li, Yaphet Kebede, Patrick Wang, Phillips Owen, Gaurav Vaidya, Eugene N. Muratov, Rada Chirkova, Chris Bizon, Alexander Tropsha

Bioinform., 2021

2020

SCAM Detective: Accurate Predictor of Small, Colloidally Aggregating Molecules.

Vinicius M. Alves, Stephen J. Capuzzi, Rodolpho C. Braga, Daniel Robert Korn, Joshua E. Hochuli, Kyle H. Bowler, Adam Yasgar, Ganesha Rai, Anton Simeonov, Eugene N. Muratov, Alexey V. Zakharov, Alexander Tropsha

J. Chem. Inf. Model., 2020

2018

Multi-Descriptor Read Across (MuDRA): A Simple and Transparent Approach for Developing Accurate Quantitative Structure-Activity Relationship Models.

Vinicius M. Alves, Alexander Golbraikh, Stephen J. Capuzzi, Kammy Liu, Wai In Lam, Daniel Robert Korn, Diane Pozefsky, Carolina Horta Andrade, Eugene N. Muratov, Alexander Tropsha

J. Chem. Inf. Model., 2018

2015

User-Interfaces for Incremental Recipient and Response Time Predictions in Asynchronous Messaging.

Connor Hamlet, Daniel R. Korn, Nikhil Prasad, Volodymyr Siedlecki, Eliezer Encarnacion, Jacob W. Bartel, Prasun Dewan

Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015