Peter N. Robinson
Orcid: 0000-0002-0736-9199
According to our database1,
Peter N. Robinson
authored at least 77 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on id.loc.gov
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on github.com
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on d-nb.info
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Bibliography
2024
BMC Medical Informatics Decis. Mak., December, 2024
Learning from conect4children: A Collaborative Approach towards Standardisation of Disease-Specific Paediatric Research Data.
Data, April, 2024
Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning.
Bioinform., March, 2024
J. Comput. Biol., February, 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
The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond.
J. Biomed. Semant., December, 2023
Bioinform., December, 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
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
2022
FABIAN-variant: predicting the effects of DNA variants on transcription factor binding.
Nucleic Acids Res., 2022
PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology.
J. Biomed. Informatics, 2022
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).
J. Am. Medical Informatics Assoc., 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
Briefings Bioinform., 2022
ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 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
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.
J. Am. Medical Informatics Assoc., 2021
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding.
CoRR, 2021
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction.
Bioinform., 2021
PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology.
Bioinform., 2021
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
COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 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
Proceedings of the 11th International Conference on Biomedical Ontologies (ICBO) joint with the 10th Workshop on Ontologies and Data in Life Sciences (ODLS) and part of the Bolzano Summer of Knowledge (BoSK 2020), 2020
2019
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery.
npj Digit. Medicine, 2019
Nucleic Acids Res., 2019
Representing glycophenotypes: semantic unification of glycobiology resources for disease discovery.
Database J. Biol. Databases Curation, 2019
Proceedings of the 10th International Conference on Biomedical Ontology (ICBO 2019), Buffalo, New York, USA, July 30, 2019
2017
Nucleic Acids Res., 2017
The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species.
Nucleic Acids Res., 2017
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.
BMC Bioinform., 2017
A likelihood ratio-based method to predict exact pedigrees for complex families from next-generation sequencing data.
Bioinform., 2017
Aligning the Human Phenotype and Mammalian Phenotype Ontology using Dead Simple Ontology Design Patterns.
Proceedings of the 8th International Conference on Biomedical Ontology (ICBO 2017), Newcastle-upon-Tyne, United Kingdom, September 13th, 2017
Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017
2016
Proceedings of the Joint International Conference on Biological Ontology and BioCreative, 2016
2015
J. Biomed. Semant., 2015
Strategies to improve the performance of rare variant association studies by optimizing the selection of controls.
Bioinform., 2015
Bioinform., 2015
Automatic concept recognition using the Human Phenotype Ontology reference and test suite corpora.
Database J. Biol. Databases Curation, 2015
Database J. Biol. Databases Curation, 2015
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015
Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
2014
The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data.
Nucleic Acids Res., 2014
Clinical phenotype-based gene prioritization: an initial study using semantic similarity and the human phenotype ontology.
BMC Bioinform., 2014
The influence of disease categories on gene candidate predictions from model organism phenotypes.
J. Biomed. Semant., 2014
Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases.
Bioinform., 2014
2013
PhenoDigm: analyzing curated annotations to associate animal models with human diseases.
Database J. Biol. Databases Curation, 2013
Proceedings of the MEDINFO 2013, 2013
2012
Querying phenotype-genotype relationships on patient datasets using semantic web technology: the example of cerebrotendinous xanthomatosis.
BMC Medical Informatics Decis. Mak., 2012
Bioinform., 2012
2011
BMC Bioinform., 2011
BMC Bioinform., 2011
Identity-by-descent filtering of exome sequence data for disease-gene identification in autosomal recessive disorders.
Bioinform., 2011
2010
2009
Proceedings of the Algorithms in Bioinformatics, 9th International Workshop, 2009
2008
The generalised k-Truncated Suffix Tree for time-and space-efficient searches in multiple DNA or protein sequences.
Int. J. Bioinform. Res. Appl., 2008
Ontologizer 2.0 - a multifunctional tool for GO term enrichment analysis and data exploration.
Bioinform., 2008
2007
Improved detection of overrepresentation of Gene-Ontology annotations with parent-child analysis.
Bioinform., 2007
2006
Binary State Pattern Clustering: A Digital Paradigm for Class and Biomarker Discovery in Gene Microarray Studies of Cancer.
J. Comput. Biol., 2006
An Improved Statistic for Detecting Over-Represented Gene Ontology Annotations in Gene Sets.
Proceedings of the Research in Computational Molecular Biology, 2006
2004
Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology
Bioinform., 2004