Assessing Schema.org’s Coverage of Terms from Key Biomedical Datasets. Intelligent Systems for Molecular Biology Conference.. 2018.
The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments. International Semantic Web Conference.. 2017.
Embracing Semantic Technology for Better Metadata Authoring in Biomedicine. Semantic Web Applications and Tools for Health Care and Life Sciences.. 2017.
Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. AMIA-American Medical Informatics Association 2017 Annual Symposium.. 2017.
Metadata in the BioSample Online Repository are Impaired by Numerous Anomalies. 1st International Workshop SemSci: Enabling Open Semantic Science.. 2017.
An Open Repository Model for Acquiring Knowledge about Scientific Experiments. 20th International Conference on Knowledge Engineering and Knowledge Management.. 2016.
Supporting Ontology-Based Standardization of Biomedical Metadata in the CEDAR Workbench. ICBO-International Conference on Biomedical Ontology.. 2017.
The CAIRR Pipeline for Submitting Standards-Compliant B and T Cell Receptor Repertoire Sequencing Studies to the National Center for Biotechnology Information Repositories. Frontiers in Immunology. 9(1877). 2018.
CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata. BMC Bioinformatics. 19:268. 2018.
The Center for Expanded Data Annotation and Retrieval. Journal of the American Medical Informatics Association, JAMIA. 22 (6) 1148-1152. 2015.
The FAIR Guiding Principles for scientiﬁc data management and stewardship. Scientific Data-Nature. 3:160018. 2016.
NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation. Journal of Biomedical Semantics. 8(21). 2017.
Predicting Biomedical Metadata in CEDAR: a study of gene expression metadata in GEO. Journal of Biomedical Informatics.. 2017.
Predicting Structured Metadata from Unstructured Metadata. Database. 2016. 2016.
Sustainable data and metadata management at the BD2K-LINCS Data Coordination and Integration Center. Scientific Data - Nature. 5(180117). 2018.
Empowering Multi-Cohort Gene Expression Analysis to Increase Reproducibility. Pacific Symposium on Biocomputing. 22:144–153.. 2016.
Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis. The Lancet Respiratory Medicine. 4(3):213–224.. 2016.