Author

Kohei Fujikura

Johns Hopkins UniversityORCID 0000-0002-0520-733XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Kohei Fujikura1 paper

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aleksander S. PopeliD· 1 shared Alexander T.F. BelliD· 1 shared Alexander V. FavoroviD· 1 shared Andrea BillèiD· 1 shared Andrej Hartnett· 1 shared Ashley L. KiemeniD· 1 shared Atul M. DeshpandeiD· 1 shared Cedric R. UytingcoiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

1 shared paperBioinformatics

Aleksander S. PopelORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 9, 2024

Genome-wide analysis of somatic non-coding mutation patterns and mitochondrial heteroplasmy in type B1 and B2 thymomas

Kohei Fujikura, Isabel Correa, Susanne Heck…·Daisuke Nonaka

This study identifies a high burden of non-coding mutations and mitochondrial heteroplasmy in type B1 and B2 thymomas, suggesting these may drive tumorigenesis despite low coding mutations.

DOI 10.1101/2024.08.09.607250

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsCell SystemsPeer-reviewedApr 1, 2023

Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces

Atul M. Deshpande, Melanie Loth, Dimitrios N. Sidiropoulos…·Elana Judith Fertig

This paper introduces SpaceMarkers, a method to infer molecular changes from cell-cell interactions in spatial transcriptomics data, applied to tumor-immune interactions in metastasis and immunotherapy.

42 citationstop 5%

humanspatial transcriptomics

𝕏 PostBluesky