Author

K.G. Phillips

Eli Lilly (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

André MourauxiD· 1 shared Andrea TruiniiD· 1 shared Anna C. SalesiD· 1 shared Anthony Edward PickeringiD· 1 shared Anthony James BlockeeliD· 1 shared James DunhamiD· 1 shared John R. HuxteriD· 1 shared Robert AR DrakeiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

André MourauxORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintAug 10, 2021

Trial by trial, machine learning approach identifies temporally discrete Aδ- and C-fibre mediated laser evoked potentials that predict pain behaviour in rats.

Anna C. Sales, Anthony James Blockeel, John R. Huxter…·Anthony Edward Pickering

The paper uses machine learning to analyze single-trial laser evoked potentials (LEPs) in rats, identifying distinct Aδ- and C-fibre mediated responses that predict pain behavior.

2 citations

ratelectronic health records

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