Author

S.-J. Shin

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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Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

d. ahn· 1 shared d. ryu· 1 shared g. kim· 1 shared H. cho· 1 shared H. Kim· 1 shared h.-s. min· 1 shared j. e. heo· 1 shared J. park· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

d. ahn

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Revealing 3D cancer tissue structures using holotomography and virtual hematoxylin and eosin staining via deep learning

J. park, S.-J. Shin, M. Kim, g. kim, H. cho, d. ryu, d. ahn, j. e. heo, h.-s. min, K. S. Lee, Y. Park, T. H. Hwang

This paper develops a 3D virtual H&E staining method using holotomography and deep learning for cancer tissues, validated on colon and gastric cancer samples.

bioRxiv · Dec 4, 2023 · PreprintCancer Biology

Optimization of Tenocyte Lineage-related Factors from Tonsil-derived Mesenchymal Stem Cells using Response Surface Methodology

S. Y. Lee, H. Kim, S.-J. Shin, S.-S. Kwon

This study uses response surface methodology to optimize TGF-β3 concentrations and culture times for enhancing tenocyte-related gene expression in MSCs.

bioRxiv · May 21, 2018Bioengineering