94 citations · 193 across the 10 of their papers we have counts for
10 papers
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski +29
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these…
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
J Harry Caufield, Tim Putman, Kevin Schaper +23
Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing,…
Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions
Sanya B. Taneja, Tiffany J. Callahan, Mary F. Paine +4
Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical natural products are co-consumed with pharmaceutical drugs. Understanding mechanisms of NPDIs is key…
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa +29
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for dee…
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Tiffany J. Callahan, Adrianne L. Stefanski, Jin-Dong Kim +3
Preeclampsia is a leading cause of maternal and fetal morbidity and mortality. Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is centra…
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative
Elena Casiraghi, Rachel Wong, Margaret Hall +34
Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful to assess associations between patients' predictors and outcomes of interest. However…
A Simple Standard for Sharing Ontological Mappings (SSSOM)
Nicolas Matentzoglu, James P. Balhoff, Susan M. Bello +41
Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representatio…
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset
Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda
The use of social media data, like Twitter, for biomedical research has been gradually increasing over the years. With the COVID-19 pandemic, researchers have turned to more nontra…
Hypernetwork Science: From Multidimensional Networks to Computational Topology
Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan +5
As data structures and mathematical objects used for complex systems modeling, hypergraphs sit nicely poised between on the one hand the world of network models, and on the other t…
Knowledge-based Biomedical Data Science 2019
Tiffany J. Callahan, Harrison Pielke-Lombardo, Ignacio J. Tripodi +1
Knowledge-based biomedical data science (KBDS) involves the design and implementation of computer systems that act as if they knew about biomedicine. Such systems depend on formall…