ScholarIQanswers from OpenAlex
Biomedical Text Mining and Ontologies
TopicLeading institutions, researchers & key papers
Biomedical Text Mining and Ontologies is a topic indexed in ScholarIQ from OpenAlex.
What is known about Biomedical Text Mining and Ontologies?
ScholarIQrecord summary
This cluster of papers focuses on the development and application of biomedical ontologies, text mining, and natural language processing techniques to extract and integrate knowledge from biomedical literature. It encompasses topics such as gene annotation, disease integration, phenotype ontology, data integration, and the use of semantic web technologies in knowledge management.
How many works does Biomedical Text Mining and Ontologies have?
ScholarIQindexed works
Biomedical Text Mining and Ontologies has 110 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Biomedical Text Mining and Ontologies?
ScholarIQopenalex
The OpenAlex for Biomedical Text Mining and Ontologies is on the source record.
What are the most-cited papers on Biomedical Text Mining and Ontologies?
ScholarIQmost cited works
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Christophe Destrieux, Bruce Fischl, Anders M. Dale, Eric Halgren
Clinical information extraction applications: A literature review
Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu
Error bars in experimental biology
Geoff Cumming, Fiona Fidler, David L. Vaux
The Human Phenotype Ontology in 2017
Sebastian Köhler, Nicole Vasilevsky, Mark Engelstad, Erin D. Foster, Julie A. McMurry, Ségolène Aymé, Gareth Baynam, Susan M. Bello, Cornelius F. Boerkoel, Kym M. Boycott, Michael Brudno, Orion J. Buske, Patrick F. Chinnery, Valentina Cipriani, Laureen E. Connell, Hugh Dawkins, Laura E. DeMare, A. Devereau, Bert B.A. de Vries, Helen V. Firth, Kathleen Freson, Daniel Greene, Ada Hamosh, Ingo Helbig, Courtney Hum, Johanna Jähn, Roger James, Roland Krause, Stanley J. F. Laulederkind, Hanns Lochmüller, Gholson J. Lyon, Soichi Ogishima, Annie Olry, Willem H. Ouwehand, Nikolas Pontikos, Ana Rath, Franz Schaefer, Richard H. Scott, Michael M. Segal, Panagiotis I. Sergouniotis, Richard Sever, Cynthia L. Smith, Volker Straub, Rachel Thompson, C. Turner, Ernest Turro, Marijcke W. M. Veltman, Tom Vulliamy, Jing Yu, Julie von Ziegenweidt, Andreas Zankl, Stephan Züchner, Tomasz Żemojtel, Julius O.B. Jacobsen, Tudor Groza, Damian Smedley, Chris Mungall, Melissa Haendel, Peter N. Robinson
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
Sebastian Köhler, Leigh Carmody, Nicole Vasilevsky, Julius O.B. Jacobsen, Daniel Daniš, Jean-Philippe F. Gourdine, Michael Gargano, Nomi L. Harris, Nicolas Matentzoglu, Julie A. McMurry, David Osumi-Sutherland, Valentina Cipriani, James P. Balhoff, Tom Conlin, Hannah Blau, Gareth Baynam, R. Palmer, Dylan Gratian, Hugh Dawkins, Michael M. Segal, Anna Jansen, Ahmed Muaz, Willie Chang, Jenna Bergerson, Stanley J. F. Laulederkind, Zafer Yüksel, Sergi Beltrán, Alexandra F. Freeman, Panagiotis I. Sergouniotis, Daniel W. Durkin, Andrea L. Storm, Marc Hanauer, Michael Brudno, Susan M. Bello, Murat Sincan, Kayli Rageth, Matthew T. Wheeler, Renske Oegema, Halima Lourghi, Maria G. Della Rocca, Rachel Thompson, F Castellanos, James R. Priest, Charlotte Cunningham‐Rundles, Ayushi Hegde, Ruth C. Lovering, Catherine Hajek, Annie Olry, Luigi D. Notarangelo, Morgan Similuk, Xingmin Zhang, David Gómez‐Andrés, Hanns Lochmüller, Hélène Dollfus, Sergio D. Rosenzweig, Shruti Marwaha, Ana Rath, Kathleen E. Sullivan, Cynthia L. Smith, Joshua D. Milner, Dorothée Leroux, Cornelius F. Boerkoel, Amy D. Klion, Melody C. Carter, Tudor Groza, Damian Smedley, Melissa Haendel, Chris Mungall, Peter N. Robinson
Where is Biomedical Text Mining and Ontologies research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Biomedical Text Mining and Ontologies is open access?
ScholarIQopen access share
60%OPEN ACCESS