113 citations · 484 across the 22 of their papers we have counts for
7 papers · 1 filter
LinkML: An Open Data Modeling Framework
Sierra A. T. Moxon, Harold Solbrig, Nomi L. Harris +33
Scientific research relies on well-structured, standardized data; however, much of it is stored in formats such as free-text lab notebooks, non-standardized spreadsheets, or data r…
Why we need all the organisms: an exploration of the Monarch knowledge graph to aid mechanism discovery
Katherina Cortes, Daniel Korn, Sarah Gehrke +12
Research done using model organisms has been fundamental to the biological understanding of human genes, diseases and phenotypes. Model organisms provide tractable systems for expe…
Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX
Daniel R Korn, Patrick Golden, Aaron Odell +10
Knowledge graph construction has become an essential domain for the future of biomedical research. But current approaches demand a high amount of redundant labor. These redundancie…
Enabling Down Syndrome Research through a Knowledge Graph-Driven Analytical Framework
Madan Krishnamurthy, Surya Saha, Pierrette Lo +5
Trisomy 21 results in Down syndrome, a multifaceted genetic disorder with diverse clinical phenotypes, including heart defects, immune dysfunction, neurodevelopmental differences,…
Improving Biomedical Knowledge Graph Quality: A Community Approach
Katherina G Cortes, Shilpa Sundar, Sarah Gehrke +13
Biomedical knowledge graphs (KGs) are widely used across research and translational settings, yet their design decisions and implementation are often opaque. Unlike ontologies that…
A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
Madan Krishnamurthy, Daniel Korn, Melissa A Haendel +2
This research aims to develop a dynamic and scalable framework to facilitate harmonization of Common Data Elements (CDEs) across heterogeneous biomedical datasets by addressing cha…
The Cell Ontology in the age of single-cell omics
Shawn Zheng Kai Tan, Aleix Puig-Barbe, Damien Goutte-Gattat +32
Single-cell omics technologies have transformed our understanding of cellular diversity by enabling high-resolution profiling of individual cells. However, the unprecedented scale…