Author

Kenta Yokote

Walter and Eliza Hall Institute of Medical ResearchORCID 0000-0002-0817-7076Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1

Frequent Co-Authors

Claire MarceauxiD· 2 shared Jack D. HywoodiD· 2 shared Marie-Liesse Asselin-LabatiD· 2 shared Belinda PhipsoniD· 1 shared Daniel BateyiD· 1 shared Edward YangiD· 1 shared Gregory RiceiD· 1 shared Ilariya TarasovaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

Claire MarceauxORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

TNF-mediated myeloid-instructed CD14+CD4+ T cells within the tumor microenvironment are associated with poor survival in non-small cell lung cancer.

Claire Marceaux, Ilariya Tarasova, Daniel Batey, Kenta Yokote, Velimir Gayevskiy, Reema Jain, Marina Leiwe, Laurie Choux, Lucy Riley, Nina Tubau Ribera, Edward Yang, Jack D. Hywood, Michael Christie, Phillip N. Antippa, Terence Paul Speed, , Marie-Liesse Asselin-Labat

The paper identifies CD14+CD4+ T cells in NSCLC tumor microenvironment driven by TNF, linked to poor patient survival.

Cell Reports Medicine · Feb 1, 2026Peer-reviewedCancer Biology

Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments

Jeremy VanderDoes, Claire Marceaux, Kenta Yokote, Marie-Liesse Asselin-Labat, Gregory Rice, Jack D. Hywood

This paper uses random forests to analyze spatial cell interactions in tumor microenvironments and shows their predictive power for patient outcomes.

PLoS Computational Biology · Jun 14, 2024Peer-reviewedBioinformatics