Tiffany J. Callahan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Multiple Imputation

Biomedical Data

Methodological Framework

Top Venues

J. Biomed. Informatics

npj Digit. Medicine

Publications

Kayla Schiffer-Kane, Cong Liu, Tiffany J. Callahan, Casey N. Ta, Jordan G. Nestor, Chunhua Weng
Converting OMOP CDM to phenopackets: A model alignment and patient data representation evaluation. J. Biomed. Informatics 155 (2024)
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
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023)
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
GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. 3 (6) (2023)
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
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. J. Biomed. Informatics 142 (2023)
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
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. CoRR (2023)
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 Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics 139 (2023)
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
KG-Hub - Building and Exchanging Biological Knowledge Graphs. CoRR (2023)
Sanya Bathla Taneja, Tiffany J. Callahan, Mary F. Paine, Sandra L. Kane-Gill, Halil Kilicoglu, Marcin P. Joachimiak, Richard D. Boyce
Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions. J. Biomed. Informatics 140 (2023)
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
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR (2023)
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 Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR (2022)
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 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
A Simple Standard for Sharing Ontological Mappings (SSSOM). Database J. Biol. Databases Curation 2022 (2022) (2022)
Sanya Bathla Taneja, Tiffany J. Callahan, Mary F. Paine, Sandra L. Kane-Gill, Halil Kilicoglu, Marcin P. Joachimiak, Richard D. Boyce
Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions. CoRR (2022)
Tiffany J. Callahan, Adrianne L. Stefanski, Danielle Ostendorf, Jordan M. Wyrwa, Sara J. Deakyne Davies, George Hripcsak, Lawrence Hunter, Michael G. Kahn
Characterizing Patient Representations for Computational Phenotyping. AMIA (2022)
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 Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins
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. CoRR (2022)
Tiffany J. Callahan, Adrianne L. Stefanski, Jin-Dong Kim, William A. Baumgartner Jr., Jordan M. Wyrwa, Lawrence E. Hunter
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome. CoRR (2022)
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
A Simple Standard for Sharing Ontological Mappings (SSSOM). CoRR (2021)
Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset. CoRR (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
The Human Phenotype Ontology in 2021. Nucleic Acids Res. 49 (Database-Issue) (2021)
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
GraPE: fast and scalable Graph Processing and Embedding. CoRR (2021)
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
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. Patterns 2 (1) (2021)
Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan, Lawrence E. Hunter, Brett A. Jefferson, Brenda Praggastis, Emilie A. H. Purvine, Ignacio J. Tripodi
Hypernetwork Science: From Multidimensional Networks to Computational Topology. CoRR (2020)
Jin-Dong Kim, Yue Wang, Toyofumi Fujiwara, Shujiro Okuda, Tiffany J. Callahan, K. Bretonnel Cohen
Open Agile text mining for bioinformatics: the PubAnnotation ecosystem. Bioinform. 35 (21) (2019)
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
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery. npj Digit. Medicine 2 (2019)
Tiffany J. Callahan, Harrison Pielke-Lombardo, Ignacio J. Tripodi, Lawrence E. Hunter
Knowledge-based Biomedical Data Science 2019. CoRR (2019)
Tiffany J. Callahan, William A. Baumgartner Jr., Michael Bada, Adrianne L. Stefanski, Ignacio Tripodi, Elizabeth K. White, Lawrence E. Hunter
OWL-NETS: Transforming OWL representations for improved network inference. PSB (2018)
Prabha Yadav, Elisabetta Jezek, Pierrette Bouillon, Tiffany J. Callahan, Michael Bada, Lawrence E. Hunter, K. Bretonnel Cohen
Semantic Relations in Compound Nouns: Perspectives from Inter-Annotator Agreement. MedInfo (2017)