Author

Hope E. Amos

ORCID 0000-0001-5442-048XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Daniel BroughiD· 1 shared Jake MurkiniD· 1 shared Karl TurleyiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Daniel BroughORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 20, 2022

In silico modelling demonstrates that user variability during tumour measurement can affect in vivo therapeutic efficacy outcomes

Jake Murkin, Hope E. Amos, Daniel Brough, Karl Turley

The paper shows that user variability in tumor measurement affects the detection of therapeutic efficacy in preclinical studies, with automated methods reducing false negatives.

1 citation

statistical modelbenchmarking

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