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Alexander D Diehl

Showing results (1-10 of 46) with videos related to

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Journal of Biomedical Semantics|January 22, 2026
Ontology development and use for cholangiocarcinoma risk factors and predictions: a term enrichment data analysis and machine learning classificationAnuwat Pengput, Alexander D Diehl
BMC Bioinformatics|July 6, 2019
Cells in ExperimentaL Life Sciences (CELLS-2018): capturing the knowledge of normal and diseased cells with ontologiesSirarat Sarntivijai, Yongqun He, Alexander D Diehl
BMC Bioinformatics|January 12, 2018
Cells in experimental life sciences - challenges and solution to the rapid evolution of knowledgeSirarat Sarntivijai, Alexander D Diehl, Yongqun He
Studies in Health Technology and Informatics|April 21, 2017
Ontological Realism for the Research Domain Criteria for Mental DisordersWerner Ceusters, Mark Jensen, Alexander D Diehl
BMC Bioinformatics|July 6, 2019
An ontology for representing hematologic malignancies: the cancer cell ontologyLucas M Serra, William D Duncan, Alexander D Diehl
Bioinformatics (Oxford, England)|October 25, 2022
GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontologyTheodore Groth, Alexander D Diehl, Rudiyanto Gunawan, et al.
CEUR Workshop Proceedings|October 28, 2021
Foundations for a Realism-Based Ontology of Protein AggregatesLauren Wishnie, Alexander P Cox, Alexander D Diehl, et al.
Immunology|September 19, 2008
Access to immunology through the Gene OntologyRuth C Lovering, Evelyn B Camon, Judith A Blake, et al.
Bioinformatics (Oxford, England)|February 3, 2007
Ontology development for biological systems: immunologyAlexander D Diehl, Jamie A Lee, Richard H Scheuermann, et al.
BMC Bioinformatics|August 9, 2011
How the gene ontology evolvesSabina Leonelli, Alexander D Diehl, Karen R Christie, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Journal of Biomedical Semantics|January 22, 2026
Ontology development and use for cholangiocarcinoma risk factors and predictions: a term enrichment data analysis and machine learning classificationAnuwat Pengput, Alexander D Diehl
BMC Bioinformatics|July 6, 2019
Cells in ExperimentaL Life Sciences (CELLS-2018): capturing the knowledge of normal and diseased cells with ontologiesSirarat Sarntivijai, Yongqun He, Alexander D Diehl
BMC Bioinformatics|January 12, 2018
Cells in experimental life sciences - challenges and solution to the rapid evolution of knowledgeSirarat Sarntivijai, Alexander D Diehl, Yongqun He
Studies in Health Technology and Informatics|April 21, 2017
Ontological Realism for the Research Domain Criteria for Mental DisordersWerner Ceusters, Mark Jensen, Alexander D Diehl
BMC Bioinformatics|July 6, 2019
An ontology for representing hematologic malignancies: the cancer cell ontologyLucas M Serra, William D Duncan, Alexander D Diehl
Bioinformatics (Oxford, England)|October 25, 2022
GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontologyTheodore Groth, Alexander D Diehl, Rudiyanto Gunawan, et al.
CEUR Workshop Proceedings|October 28, 2021
Foundations for a Realism-Based Ontology of Protein AggregatesLauren Wishnie, Alexander P Cox, Alexander D Diehl, et al.
Immunology|September 19, 2008
Access to immunology through the Gene OntologyRuth C Lovering, Evelyn B Camon, Judith A Blake, et al.
Bioinformatics (Oxford, England)|February 3, 2007
Ontology development for biological systems: immunologyAlexander D Diehl, Jamie A Lee, Richard H Scheuermann, et al.
BMC Bioinformatics|August 9, 2011
How the gene ontology evolvesSabina Leonelli, Alexander D Diehl, Karen R Christie, et al.
Pageof 5