Author

S.-J. Kang

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Lee· 1 shared B. Choi· 1 shared C. K. Kang· 1 shared D. Lee· 1 shared E. Chang· 1 shared E. S. Kim· 1 shared H. B. Kim· 1 shared H. Im· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

A. Lee

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2 papers

Recent·Most cited

Clinical and immunological signatures of severe COVID-19 in previously healthy patients with clonal hematopoiesis

C. K. Kang, B. Choi, S. Kim, S. Park, S. H. Yoon, D. Lee, A. Lee, Y. Ko, E. Chang, J. Jung, P. G. Choe, W. B. Park, E. S. Kim, H. B. Kim, N. J. Kim, , I. Jung

This study identifies clonal hematopoiesis as an independent risk factor for severe COVID-19 in previously healthy patients, revealing distinct immunological and epigenetic signatures.

bioRxiv · Oct 5, 2021 · PreprintImmunology

Label-free identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning

J. Yoon, Y. Jo, M.-h. Kim, K. Kim, S. Lee, S.-J. Kang, Y. Park

This study identifies non-activated lymphocyte subtypes using label-free refractive index tomography and machine learning with high specificity and sensitivity.

bioRxiv · Feb 11, 2017Immunology