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ORCIDJustin T. Reese
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2020 – today
- 2024
[j17]J. Harry Caufield
, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, Hyeongsik Kim, Sierra A. T. Moxon, Justin T. Reese, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. Bioinform. 40(3) (2024)- [j16]Sabrina Toro, Anna V. Anagnostopoulos, Susan M. Bello, Kai Blumberg, Rhiannon Cameron, Leigh Carmody, Alexander D. Diehl, Damion M. Dooley, William D. Duncan, Petra Fey, Pascale Gaudet, Nomi L. Harris, Marcin P. Joachimiak, Leila Kiani, Tiago Lubiana, Monica C. Munoz-Torres, Shawn T. O'Neil, David Osumi-Sutherland, Aleix Puig-Barbe, Justin T. Reese, Leonore Reiser, Sofia M. C. Robb, Troy Ruemping, James Seager, Eric Sid, Raymund Stefancsik, Magalie Weber, Valerie Wood, Melissa A. Haendel, Christopher J. Mungall:
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI). J. Biomed. Semant. 15(1): 19 (2024) - [j15]Lauren E. Chan, Elena Casiraghi, Justin T. Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde, Giorgio Valentini, Charles Schmitt, Alison A. Motsinger-Reif, Janet E. Hall, Christopher J. Mungall, Peter N. Robinson, Melissa A. Haendel:
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int. J. Medical Informatics 187: 105461 (2024) - [j14]Tudor Groza, J. Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall, Justin T. Reese:
An evaluation of GPT models for phenotype concept recognition. BMC Medical Informatics Decis. Mak. 24(1): 30 (2024) - [c6]Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini:
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) 2024: 561-568 - [c5]Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Christopher J. Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
Initial achievements in relation extraction from RNA-focused scientific papers. SEBD 2024: 61-69 - [c4]Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Chris Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. VLDB Workshops 2024 - 2023
- [j13]Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin T. Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson:
An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinform. 39(4) (2023) - [j12]Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Marco Mesiti, Mauricio Soto Gomez, Alberto Cabri, Justin T. Reese, Elena Casiraghi, Peter N. Robinson:
The promises of large language models for protein design and modeling. Frontiers Bioinform. 3 (2023) - [j11]Anne E. Thessen, Laurel Cooper, Tyson L. Swetnam, Harshad Hegde, Justin T. Reese, Justin Elser, Pankaj Jaiswal:
Using knowledge graphs to infer gene expression in plants. Frontiers Artif. Intell. 6 (2023) - [j10]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:
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics 139: 104295 (2023) - [j9]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): 552-568 (2023) - [j8]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) - [c3]Luca Cappelletti, Tommaso Fontana, Justin T. Reese, David A. Bader:
Billion-scale Detection of Isomorphic Nodes. IPDPS Workshops 2023: 230-233 - [c2]Luca Cappelletti, Stefano Taverni, Tommaso Fontana, Marcin P. Joachimiak, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini:
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) 2023: 372-383 - [i10]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 abs/2302.10800 (2023) - [i9]J. Harry Caufield, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, HyeongSik Kim, Sierra A. T. Moxon, Justin T. Reese, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning. CoRR abs/2304.02711 (2023) - [i8]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 abs/2307.05727 (2023) - [i7]Tudor Groza, J. Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Chris Mungall, Justin T. Reese:
An evaluation of GPT models for phenotype concept recognition. CoRR abs/2309.17169 (2023) - [i6]Nicolas Matentzoglu, J. Harry Caufield, Harshad B. Hegde, Justin T. Reese, Sierra A. T. Moxon, Hyeongsik Kim, Nomi L. Harris, Melissa A. Haendel, Christopher J. Mungall:
MapperGPT: Large Language Models for Linking and Mapping Entities. CoRR abs/2310.03666 (2023) - [i5]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 abs/2312.00183 (2023) - 2022
- [i4]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:
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 abs/2206.06444 (2022) - [i3]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:
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR abs/2209.04732 (2022) - 2021
- [j7]Alice Scarabelli, Massimo Zilocchi, Elena Casiraghi, Pierangelo Fasani, Guido Giovanni Plensich, Alessandro Andrea Esposito, Elvira Stellato, Alessandro Petrini, Justin T. Reese, Peter N. Robinson, Giorgio Valentini, Gianpaolo Carrafiello:
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. J. Imaging 7(12): 258 (2021) - [j6]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): 100155 (2021) - [c1]Marcin P. Joachimiak, Harshad Hegde, William D. Duncan, Justin T. Reese, Luca Cappelletti, Anne E. Thessen, Christopher J. Mungall:
KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information. ICBO 2021: 131-133 - [i2]Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson:
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. CoRR abs/2101.01425 (2021) - [i1]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 abs/2110.06196 (2021) - 2020
- [j5]Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin T. Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini:
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8: 196299-196325 (2020) - [j4]Kent A. Shefchek, Nomi L. Harris, Michael A. Gargano, Nicolas Matentzoglu, Deepak R. Unni, Matthew H. Brush, Dan Keith, Tom Conlin, Nicole A. Vasilevsky, Xingmin Aaron Zhang, James P. Balhoff, Larry Babb, Susan M. Bello, Hannah Blau, Yvonne M. Bradford, Seth Carbon, Leigh Carmody, Lauren E. Chan, Valentina Cipriani, Alayne Cuzick, Maria G. Della Rocca, Nathan A. Dunn, Shahim Essaid, Petra Fey, Christian A. Grove, Jean-Philippe F. Gourdine, Ada Hamosh, Midori A. Harris, Ingo Helbig, Maureen E. Hoatlin, Marcin P. Joachimiak, Simon Jupp, Kenneth B. Lett, Suzanna E. Lewis, Craig McNamara, Zoë May Pendlington, Clare Pilgrim, Tim E. Putman, Vida Ravanmehr, Justin T. Reese, Erin Rooney Riggs, Sofia M. C. Robb, Paola Roncaglia, James Seager, Erik Segerdell, Morgan Similuk, Andrea L. Storm, Courtney Thaxon, Anne E. Thessen, Julius O. B. Jacobsen, Julie A. McMurry, Tudor Groza, Sebastian Köhler, Damian Smedley, Peter N. Robinson, Christopher J. Mungall, Melissa A. Haendel, Monica C. Munoz-Torres, David Osumi-Sutherland:
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species. Nucleic Acids Res. 48(Database-Issue): D704-D715 (2020)
2010 – 2019
- 2014
- [j3]Brandi L. Cantarel, Daniel Weaver, Nathan McNeill, Jianhua Zhang, Aaron J. Mackey, Justin T. Reese:
BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity. BMC Bioinform. 15: 104 (2014) - 2011
- [j2]Monica C. Munoz-Torres, Justin T. Reese, Christopher P. Childers, Anna K. Bennett, Jaideep P. Sundaram, Kevin L. Childs, Juan M. Anzola, Natalia Milshina, Christine G. Elsik:
Hymenoptera Genome Database: integrated community resources for insect species of the order Hymenoptera. Nucleic Acids Res. 39(Database-Issue): 658-662 (2011) - [j1]Christopher P. Childers, Justin T. Reese, Jaideep P. Sundaram, Donald C. Vile, C. Michael Dickens, Kevin L. Childs, Hanni Salih, Anna K. Bennett, Darren E. Hagen, David L. Adelson, Christine G. Elsik:
Bovine Genome Database: integrated tools for genome annotation and discovery. Nucleic Acids Res. 39(Database-Issue): 830-834 (2011)
Coauthor Index
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