Author

M.-h. Kim

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 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

J. Yoon· 2 shared Y. Jo· 2 shared Y. Park· 2 shared E. M. Clarissa· 1 shared H. Joo· 1 shared I.-J. Oh· 1 shared J. Jung· 1 shared J. Park· 1 shared

Activity by Year

2017-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersMicrobiology

J. Yoon

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Digital Profiling of Tumor Extracellular Vesicle-associated RNAs Directly from Unprocessed Blood Plasma

E. M. Clarissa, S. Kumar, J. Park, M. Karmacharya, I.-J. Oh, M.-H. Kim, J.-S. Ryu, Y.-K. Cho

EV-CLIP detects tumor-derived extracellular vesicle RNAs directly from blood plasma with high sensitivity, enabling precise monitoring of cancer mutations and EV subpopulations.

bioRxiv · May 6, 2024Bioengineering

Holographic deep learning for rapid optical screening of anthrax spores

Y. Jo, S. Park, J. Jung, J. Yoon, H. Joo, M.-h. Kim, S.-J. Jo, M. C. Choi, S. Y. Lee, Y. Park

This paper develops a deep learning method using holographic microscopy to rapidly and accurately classify anthrax spores and other pathogens.

bioRxiv · Feb 16, 2017Microbiology

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