Author

H. Blau

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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Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:ATAC-seq· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

Y. X. Wang· 2 shared A. Chang· 1 shared A. Kirillova· 1 shared A. T. V. Ho· 1 shared B. Z. Lin· 1 shared C. A. Holbrook· 1 shared C. M. Madl· 1 shared E. A. Flaschner· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersImmunology

Y. X. Wang

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Author profile →

2 papers

Recent·Most cited

Sex biased human thymic architecture guides T cell development through spatially defined niches

L. N. Stankiewicz, F. M. Rossi, P. W. Zandstra, K. Salim, E. A. Flaschner, Y. X. Wang, J. M. Edgar, B. Z. Lin, G. C. Bingham, M. C. Major, R. D. Jones, H. Blau, E. Rideout, M. K. Levings

The paper maps sex differences in thymic niches using spatial multi-omics to reveal how sex influences T cell development and immune function.

bioRxiv · Apr 13, 2023Immunology

Machine learning-based classification of binary dynamic fluorescence signals reveals muscle stem cell fate transitions in response to pro-regenerative niche factors

M. Togninalli, A. T. V. Ho, C. M. Madl, C. A. Holbrook, Y. X. Wang, K. E. G. Magnusson, A. Kirillova, A. Chang, H. Blau

This study uses machine learning to analyze dynamic fluorescence signals and classify muscle stem cell fate transitions in response to niche factors like PGE2 and OSM.

bioRxiv · Jun 17, 2022 · PreprintCell Biology