Author

Emily S. Sena

University of EdinburghORCID 0000-0002-3282-8502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:rat· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Jing LiaoiD· 3 shared Kaitlyn HairiD· 3 shared Malcolm Robert MacleodiD· 3 shared Gillian L. CurrieiD· 2 shared Qianying WangiD· 2 shared Sarah McCanniD· 2 shared Zsanett BahoriD· 2 shared Alexandra Bannach‐BrowniD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersBioinformatics

Jing LiaoORCID

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Author profile →

3 papers

Recent·Most cited

The Automated Systematic Search Deduplicator (ASySD): a rapid, open-source, interoperable tool to remove duplicate citations in biomedical systematic reviews.

Kaitlyn Hair, Zsanett Bahor, Malcolm Robert Macleod, Jing Liao, Emily S. Sena

ASySD is a tool that efficiently removes duplicate citations in biomedical systematic reviews with high sensitivity and reliability.

BMC Biology · Sep 6, 2023Peer-reviewedBioinformatics

Animal models of chemotherapy-induced peripheral neuropathy: a machine-assisted systematic review and meta-analysis A comprehensive summary of the field to inform robust experimental design

Gillian L. Currie, Helena N. Angel-Scott, Lesley Colvin, Fala Cramond, Kaitlyn Hair, Laila Khandoker, Jing Liao, Malcolm Robert Macleod, Sarah McCann, Rosie Morland, Nicki Sherratt, Robert Stewart, Ezgi Tanriver-Ayder, James Thomas, Qianying Wang, , Emily S. Sena

PLoS Biology · May 20, 2019Peer-reviewedNeuroscience

Estimating the statistical performance of different approaches to meta-analysis of data from animal studies in identifying the impact of aspects of study design

Qianying Wang, Jing Liao, Kaitlyn Hair, Alexandra Bannach‐Brown, Zsanett Bahor, Gillian L. Currie, Sarah McCann, David William Howells, Emily S. Sena, Malcolm Robert Macleod

This paper compares statistical methods for meta-analysis of animal studies, finding that normalized mean difference (NMD) has higher power than standardized mean difference (SMD), and meta-regression outperforms stratified meta-analysis.

bioRxiv · Jan 30, 2018 · PreprintBioinformatics