Author

Caroline Ngetsa

Kenya Medical Research InstituteORCID 0000-0001-8827-7685Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:electronic health records· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Philip BejoniD· 2 shared Alexander W. MachariaiD· 1 shared Arjen M. DondorpiD· 1 shared Benedict OrindiiD· 1 shared Benjamin TsofaiD· 1 shared Carolyne NdilaiD· 1 shared Chris C. HolmesiD· 1 shared Clement Lewa· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMolecular Biology

Philip BejonORCID

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2 papers

Recent·Most cited

Molecular BiologyPLoS ONEPeer-reviewedFeb 13, 2023

Validation of saline, PBS and a locally produced VTM at varying storage conditions to detect the SARS-CoV-2 virus by qRT-PCR

Caroline Ngetsa, Victor Osoti, Dorcas Okanda…·Lynette Isabella Ochola‐Oyier

This study evaluates the performance of four viral transport media for preserving SARS-CoV-2 RNA during storage at different temperatures and time points.

12 citations

statistical model

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GeneticseLifePeer-reviewedJul 5, 2021

Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision

James A Watson, Carolyne Ndila, Sophie M. Uyoga…·Nicholas John White

The paper improves statistical power in severe malaria genetic studies by addressing phenotypic imprecision through a probabilistic diagnostic model and data-tilting approach.

32 citationstop 4%

humanelectronic health records

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