Semantics (computer science) and Software are fields of study that overlap with his Programming language research. He performs integrative study on Software and Programming language in his works. He performs multidisciplinary study in the fields of Ontology and Suggested Upper Merged Ontology via his papers. He undertakes interdisciplinary study in the fields of Suggested Upper Merged Ontology and Ontology through his research. His Epistemology study frequently links to other fields, such as Meaning (existential). Meaning (existential) is closely attributed to Epistemology in his work. Robert Hoehndorf performs integrative study on Gene and Computational biology in his works. His multidisciplinary approach integrates Computational biology and Genetics in his work. His study connects Sequence (biology) and Genetics.
In his work, Robert Hoehndorf performs multidisciplinary research in Ontology and Process ontology. He applies his multidisciplinary studies on Epistemology and Ontology in his research. Robert Hoehndorf conducts interdisciplinary study in the fields of Artificial intelligence and Data mining through his works. He integrates Gene with Annotation in his study. He conducted interdisciplinary study in his works that combined Annotation and Gene. He regularly links together related areas like Function (biology) in his Genetics studies. Function (biology) is closely attributed to Genetics in his work. Robert Hoehndorf incorporates Computational biology and Bioinformatics in his research. He integrates many fields in his works, including Bioinformatics and Computational biology.
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Text-mining solutions for biomedical research: enabling integrative biology.
Dietrich Rebholz-Schuhmann;Anika Oellrich;Robert Hoehndorf.
Nature Reviews Genetics (2012)
DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.
Maxat Kulmanov;Mohammed Asif Khan;Robert Hoehndorf.
The role of ontologies in biological and biomedical research: a functional perspective
Robert Hoehndorf;Paul N. Schofield;Georgios V. Gkoutos.
Briefings in Bioinformatics (2015)
PhenomeNET: a whole-phenome approach to disease gene discovery
Robert Hoehndorf;Paul Schofield;Georgios Vasileios Gkoutos.
Nucleic Acids Research (2011)
The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery
Michel Dumontier;Michel Dumontier;Christopher J. O. Baker;Joachim Baran;Alison Callahan.
Journal of Biomedical Semantics (2014)
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee.
Genome Biology (2019)
General Formal Ontology (GFO) - A Foundational Ontology Integrating Objects and Processes [Version 1.0]
Heinrich Herre;Barbara Heller;Patryk Burek;Robert Hoehndorf.
Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics.
Martin Hrabě de Angelis;George Nicholson;Mohammed Selloum;Jacqueline K White.
Nature Genetics (2015)
Neuro-symbolic representation learning on biological knowledge graphs.
Mona Alshahrani;Mohammad Asif Khan;Omar Maddouri;Omar Maddouri;Akira R Kinjo.
DeepGOPlus: improved protein function prediction from sequence.
Maxat Kulmanov;Robert Hoehndorf.
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