Author

Sophia Ananiadou

University of ManchesterORCID 0000-0002-4097-9191Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:machine learning (classical)· 2 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Jing LiaoiD· 2 shared Malcolm Robert MacleodiD· 2 shared A. Rice· 1 shared Alexandra Bannach‐BrowniD· 1 shared Andrew S. C. RiceiD· 1 shared Andrey RzhetskyiD· 1 shared Aram GalstyaniD· 1 shared Arun VargheseiD· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Jing LiaoORCID

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Author profile →

3 papers

Recent·Most cited

NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding

Kanix Wang, Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross D. King, Sophia Ananiadou, Maolin Li, Fenia Christopoulou, José Luis Ambite, Sahil Garg, Ulf Hermjakob, Daniel Marcu, Emily Sheng, Tim Beißbarth, , Andrey Rzhetsky

This paper introduces NERO, a biomedical named-entity ontology with an annotated corpus, and demonstrates its utility through text embedding for discovering associations.

bioRxiv · Nov 5, 2020 · PreprintSystems Biology

Automation of citation screening in pre-clinical systematic reviews

Jing Liao, Sophia Ananiadou, L. G. Currie, Brian E. Howard, A. Rice, S. E. Sena, J. Thomas, Arun Varghese, Malcolm Robert Macleod

The paper develops machine learning classifiers to automate citation screening in pre-clinical systematic reviews, achieving high sensitivity and specificity across different domains.

bioRxiv · Jan 9, 2020 · PreprintNeuroscience

Machine learning algorithms for systematic reviews: reducing workload in a preclinical review of animal studies and reducing human screening error

Alexandra Bannach‐Brown, Piotr Przybyła, James Thomas, Andrew S. C. Rice, Sophia Ananiadou, Jing Liao, Malcolm Robert Macleod

This paper applies machine learning to citation screening in systematic reviews of animal studies, improving sensitivity and identifying human errors.

Systematic Reviews · Jan 15, 2019Peer-reviewedNeuroscience