Author

J. Kincaid-Smith

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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Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

J. Boissier· 2 shared A. Huguenin· 1 shared C. Chaparro· 1 shared E. Mathieu-Begne· 1 shared E. Toulza· 1 shared H. Ferte· 1 shared J. Depaquit· 1 shared J.-F. Allienne· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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2 shared papersEvolutionary Biology

J. Boissier

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2 papers

Recent·Most cited

Evolutionary BiologyPLOS Neglected Tropical DiseasesPeer-reviewedJul 2, 2024

Schistosoma haematobium and Schistosoma bovis first generation hybrids undergo large gene expressions remodeling consistent with species compatibility

E. Mathieu-Begne, J. Kincaid-Smith, C. Chaparro…·E. Toulza

This study examines gene expression changes in first-generation hybrids of Schistosoma haematobium and S. bovis, finding extensive transcriptomic remodeling with intermediate expression levels being most common.

DOI 10.1371/journal.pntd.0012267

bulk RNA-seqstatistical model

𝕏 PostBluesky

MicrobiologybioRxivJun 14, 2022

MALDI-TOF : A new tool for the identification of Schistosoma cercariae and detection of hybrids

A. Huguenin, J. Kincaid-Smith, J. Depaquit…·H. Ferte

This paper evaluates MALDI-TOF for identifying Schistosoma cercariae and detecting hybrids, achieving 94% accuracy with machine learning improving discrimination between hybrids and S. haematobium.

DOI 10.1371/journal.pntd.0010577

humanproteomics

𝕏 PostBluesky