Author

J. M. Waeni

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

Biology Disciplines

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Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Gwela· 1 shared C. J. Sande· 1 shared E. T. Gicheru· 1 shared J. M. Njunge· 1 shared M. M. Mutunga· 1 shared N. K. Kibinge· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperImmunology

A. Gwela

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1 paper

Recent·Most cited

In-silico immune cell deconvolution of the airway proteomes of infants with pneumonia reveals a link between reduced airway eosinophils and an increased risk of mortality

C. J. Sande, J. M. Waeni, J. M. Njunge, M. M. Mutunga, E. T. Gicheru, N. K. Kibinge, A. Gwela

This study uses proteomic data and machine learning to deconvolve immune cell phenotypes in infant pneumonia airway samples, finding reduced eosinophils correlate with increased mortality risk.

bioRxiv · Jan 19, 2020 · PreprintImmunology