Author
University at Buffalo, State University of New YorkORCID 0000-0001-9990-8331Unclaimed ORCID profile · follow to get notified of new preprints
7 papers
Recent·Most cited
Jie Zheng, Yu Lin, Anthony Huffman…·Yongqun Oliver He
The paper introduces the Vaccine Ontology (VO), a standardized framework for representing vaccines and related data, enhancing data integration and AI research.
Alexander Bartnik, Lucas M. Serra, Mackenzie Smith…·Alexander D. Diehl
The paper introduces MRIO, an ontology for MRI data acquisition and analysis to standardize and improve reproducibility in neuroimaging research.
Yongqun Oliver He, Laura M. C. Barisoni, Avi Z. Rosenberg…·the Kidney Precision Medicine Project
The paper uses ontologies to integrate clinical, pathological, and molecular kidney data for precision medicine analysis.
Theodore Groth, Alexander D. Diehl, Rudiyanto Gunawan, Sriram Neelamegham
GlycoEnzOnto curates 386 human glycoEnzymes across 135 pathways and 134 molecular functions to improve glycosylation pathway analysis.
Rebecca Jackson, Nicolas Matentzoglu, James A. Overton…·Bjoern Peters
The paper describes how the OBO Foundry formalized its principles into operational rules and implemented automated checks to evaluate ontology compliance, improving interoperability and quality.
Mathys Grapotte, Manu Saraswat, Chloé Bessière…·Lothar C. Dieterich
The paper identifies widespread transcription initiation at microsatellites across species and develops deep learning models to predict STR-associated transcription and its impact on disease variants.
Brian D. Aevermann, Mark A. Novotny, Trygve E. Bakken…·Richard H. Scheuermann
The paper reviews how single cell RNA sequencing is identifying new human cell types and proposes a machine learning method to improve cell type definitions in the Cell Ontology.