Tiffany Callahan

According to our database, Tiffany Callahan authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Converting OMOP CDM to phenopackets: A model alignment and patient data representation evaluation.

Kayla Schiffer-Kane, Cong Liu, Tiffany J. Callahan, Casey N. Ta, Jordan G. Nestor, Chunhua Weng

J. Biomed. Informatics, 2024

Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design.

Nathaniel H. Park, Tiffany J. Callahan, James L. Hedrick, Tim Erdmann, Sara Capponi

CoRR, 2024

2023

Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer's disease.

Scott A. Malec, Sanya Bathla Taneja, Steven M. Albert, C. Elizabeth Shaaban, Helmet T. Karim, Arthur S. Levine, Paul Munro, Tiffany J. Callahan, Richard D. Boyce

J. Biomed. Informatics, June, 2023

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

Sanya Bathla Taneja, Tiffany J. Callahan, Mary F. Paine, Sandra L. Kane-Gill, Halil Kilicoglu, Marcin P. Joachimiak, Richard D. Boyce

J. Biomed. Informatics, April, 2023

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.

Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins

J. Biomed. Informatics, March, 2023

Ontologizing health systems data at scale: making translational discovery a reality.

Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn

npj Digit. Medicine, 2023

GRAPE for fast and scalable graph processing and random-walk-based embedding.

Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini

Nat. Comput. Sci., 2023

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

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

CoRR, 2023

An Open-Source Knowledge Graph Ecosystem for the Life Sciences.

Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter

CoRR, 2023

KG-Hub - Building and Exchanging Biological Knowledge Graphs.

J. Harry Caufield, Tim E. Putman, Kevin Schaper, Deepak R. Unni, Harshad Hegde, Tiffany J. Callahan, Luca Cappelletti, Sierra A. T. Moxon, Vida Ravanmehr, Seth Carbon, Lauren E. Chan, Katherina Cortes, Kent A. Shefchek, Glass Elsarboukh, James P. Balhoff, Tommaso Fontana, Nicolas Matentzoglu, Richard M. Bruskiewich, Anne E. Thessen, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall, Justin T. Reese

CoRR, 2023

2022

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

Sanya Bathla Taneja, Tiffany J. Callahan, Mary F. Paine, Sandra L. Kane-Gill, Halil Kilicoglu, Marcin P. Joachimiak, Richard D. Boyce

CoRR, 2022

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality.

Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn

CoRR, 2022

Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome.

Tiffany J. Callahan, Adrianne L. Stefanski, Jin-Dong Kim, William A. Baumgartner Jr., Jordan M. Wyrwa, Lawrence E. Hunter

CoRR, 2022

Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative.

Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins

CoRR, 2022

A Simple Standard for Sharing Ontological Mappings (SSSOM).

Nicolas Matentzoglu, James P. Balhoff, Susan M. Bello, Chris Bizon, Matthew H. Brush, Tiffany J. Callahan, Christopher G. Chute, William D. Duncan, Chris T. A. Evelo, Davera Gabriel, John Graybeal, Alasdair J. G. Gray, Benjamin M. Gyori, Melissa A. Haendel, Henriette Harmse, Nomi L. Harris, Ian Harrow, Harshad Hegde, Amelia L. Hoyt, Charles Tapley Hoyt, Dazhi Jiao, Ernesto Jiménez-Ruiz, Simon Jupp, Hyeongsik Kim, Sebastian Köhler, Thomas Liener, Qinqin Long, James Malone, James A. McLaughlin, Julie A. McMurry, Sierra A. T. Moxon, Monica C. Munoz-Torres, David Osumi-Sutherland, James A. Overton, Bjoern Peters, Tim E. Putman, Núria Queralt-Rosinach, Kent A. Shefchek, Harold Solbrig, Anne E. Thessen, Tania Tudorache, Nicole A. Vasilevsky, Alex H. Wagner, Christopher J. Mungall

Database J. Biol. Databases Curation, 2022

Characterizing Patient Representations for Computational Phenotyping.

Tiffany J. Callahan, Adrianne L. Stefanski, Danielle Ostendorf, Jordan M. Wyrwa, Sara J. Deakyne Davies, George Hripcsak, Lawrence Hunter, Michael G. Kahn

Proceedings of the AMIA 2022, 2022

2021

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response.

Justin T. Reese, Deepak R. Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent A. Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall

Patterns, 2021

The Human Phenotype Ontology in 2021.

Sebastian Köhler, Michael A. Gargano, Nicolas Matentzoglu, Leigh Carmody, David Lewis-Smith, Nicole A. Vasilevsky, Daniel Danis, Ganna Balagura, Gareth Baynam, Amy M. Brower, Tiffany J. Callahan, Christopher G. Chute, Johanna L. Est, Peter D. Galer, Shiva Ganesan, Matthias Griese, Matthias Haimel, Julia Pazmandi, Marc Hanauer, Nomi L. Harris, Michael Hartnett, Maximilian Hastreiter, Fabian Hauck, Yongqun He, Tim Jeske, Hugh Kearney, Gerhard Kindle, Christoph Klein, Katrin Knoflach, Roland Krause, David Lagorce, Julie A. McMurry, Jillian A. Miller, Monica C. Munoz-Torres, Rebecca L. Peters, Christina K. Rapp, Ana Rath, Shahmir A. Rind, Avi Z. Rosenberg, Michael M. Segal, Markus G. Seidel, Damian Smedley, Tomer Talmy, Yarlalu Thomas, Samuel A. Wiafe, Julie Xian, Zafer Yüksel, Ingo Helbig, Christopher J. Mungall, Melissa A. Haendel, Peter N. Robinson

Nucleic Acids Res., 2021

GraPE: fast and scalable Graph Processing and Embedding.

Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini

CoRR, 2021

A Biomedically oriented automatically annotated Twitter COVID-19 Dataset.

Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda

CoRR, 2021

2020

Hypernetwork Science: From Multidimensional Networks to Computational Topology.

Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan, Lawrence E. Hunter, Brett A. Jefferson, Brenda Praggastis, Emilie A. H. Purvine, Ignacio J. Tripodi

CoRR, 2020

2019

Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery.

Xingmin Aaron Zhang, Amy Yates, Nicole A. Vasilevsky, Jean-Philippe F. Gourdine, Tiffany J. Callahan, Leigh C. Carmody, Daniel Danis, Marcin P. Joachimiak, Vida Ravanmehr, Emily R. Pfaff, James Champion, Kimberly Robasky, Hao Xu, Karamarie Fecho, Nephi A. Walton, Richard L. Zhu, Justin Ramsdill, Christopher J. Mungall, Sebastian Köhler, Melissa A. Haendel, Clement J. McDonald, Daniel J. Vreeman, David B. Peden, Tellen D. Bennett, James A. Feinstein, Blake Martin, Adrianne L. Stefanski, Lawrence E. Hunter, Christopher G. Chute, Peter N. Robinson

npj Digit. Medicine, 2019

Knowledge-based Biomedical Data Science 2019.

Tiffany J. Callahan, Harrison Pielke-Lombardo, Ignacio J. Tripodi, Lawrence E. Hunter

CoRR, 2019

Open Agile text mining for bioinformatics: the PubAnnotation ecosystem.

Jin-Dong Kim, Yue Wang, Toyofumi Fujiwara, Shujiro Okuda, Tiffany J. Callahan, K. Bretonnel Cohen

Bioinform., 2019

2018

OWL-NETS: Transforming OWL representations for improved network inference.

Tiffany J. Callahan, William A. Baumgartner Jr., Michael Bada, Adrianne L. Stefanski, Ignacio Tripodi, Elizabeth K. White, Lawrence E. Hunter

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Three Dimensions of Reproducibility in Natural Language Processing.

K. Bretonnel Cohen, Jingbo Xia, Pierre Zweigenbaum, Tiffany Callahan, Orin Hargraves, Foster R. Goss, Nancy Ide, Aurélie Névéol, Cyril Grouin, Lawrence E. Hunter

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017

Semantic Relations in Compound Nouns: Perspectives from Inter-Annotator Agreement.

Prabha Yadav, Elisabetta Jezek, Pierrette Bouillon, Tiffany J. Callahan, Michael Bada, Lawrence E. Hunter, K. Bretonnel Cohen

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2015

Characterizing workflow for pediatric asthma patients in emergency departments using electronic health records.

Mustafa Ozkaynak, Oliwier Dziadkowiec, Rakesh Mistry, Tiffany Callahan, Ze He, Sara J. Deakyne Davies, Eric Tham

J. Biomed. Informatics, 2015

Improving user engagement and insight through Contextualized Quantified Self.

Tiffany Callahan, Tal Lorberbaum, Alexandre Yahi

Proceedings of the AMIA 2015, 2015

2014

Differences in Occurrence and Recorded Times of Care Delivery Events as Documented in Electronic Health Records.

Mustafa Ozkaynak, Oliwier Dziadkowiec, Sara J. Deakyne Davies, Tiffany Callahan, Eric Tham

Proceedings of the AMIA 2014, 2014