Justin T. Reese
Orcid: 0000-0002-2170-2250
According to our database1,
Justin T. Reese
authored at least 33 papers
between 2011 and 2025.
Collaborative distances:
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Bibliography
2025
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing.
Artif. Intell. Medicine, 2025
2024
BMC Medical Informatics Decis. Mak., December, 2024
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI).
J. Biomed. Semant., December, 2024
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning.
Bioinform., March, 2024
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests.
Int. J. Medical Informatics, 2024
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
Frontiers Bioinform., May, 2023
An expectation-maximization framework for comprehensive prediction of isoform-specific functions.
Bioinform., April, 2023
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.
J. Biomed. Informatics, March, 2023
Frontiers Artif. Intell., February, 2023
npj Digit. Medicine, 2023
Nat. Comput. Sci., 2023
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules.
CoRR, 2023
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
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.
CoRR, 2022
2021
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response.
Patterns, 2021
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence.
J. Imaging, 2021
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding.
CoRR, 2021
KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information.
Proceedings of the International Conference on Biomedical Ontologies 2021 co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021), 2021
2020
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species.
Nucleic Acids Res., 2020
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
IEEE Access, 2020
2014
BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity.
BMC Bioinform., 2014
2011
Hymenoptera Genome Database: integrated community resources for insect species of the order Hymenoptera.
Nucleic Acids Res., 2011
Nucleic Acids Res., 2011