Search Results for author: Tiffany J. Callahan

Found 9 papers, 6 papers with code

RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules

1 code implementation30 Nov 2023 Emanuele Cavalleri, Alberto Cabri, Mauricio Soto-Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J. Callahan, Justin Reese, Peter N Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti

The resource can be easily updated with new experimental data, and specific views of the overall KG can be extracted according to the bio-medical problem to be studied.

Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions

1 code implementation24 Sep 2022 Sanya B. Taneja, Tiffany J. Callahan, Mary F. Paine, Sandra L. Kane-Gill, Halil Kilicoglu, Marcin P. Joachimiak, Richard D. Boyce

NP-KG is a heterogeneous KG with biomedical ontologies, linked data, and full texts of the scientific literature, constructed with the Phenotype Knowledge Translator framework and the semantic relation extraction systems, SemRep and Integrated Network and Dynamic Reasoning Assembler.

Relation Extraction

Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome

no code implementations28 Jul 2022 Tiffany J. Callahan, Adrianne L. Stefanski, Jin-Dong Kim, William A. Baumgartner Jr., Jordan M. Wyrwa, Lawrence E. Hunter

Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease.

A Biomedically oriented automatically annotated Twitter COVID-19 Dataset

1 code implementation27 Jul 2021 Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda

As part of the 2021 Biomedical Linked Annotation Hackathon, we release our dataset of over 120 million automatically annotated tweets for biomedical research purposes.

Knowledge-based Biomedical Data Science 2019

no code implementations8 Oct 2019 Tiffany J. Callahan, Harrison Pielke-Lombardo, Ignacio J. Tripodi, Lawrence E. Hunter

Knowledge-based biomedical data science (KBDS) involves the design and implementation of computer systems that act as if they knew about biomedicine.

BIG-bench Machine Learning Knowledge Graphs

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