Author

Jeon Woong Kang

Massachusetts Institute of TechnologyORCID 0000-0003-2012-9023Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:machine learning (classical)· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2 Research Focus:clustering· 1 Assay:Ribo-seq· 1 Assay:snRNA-seq· 1

Frequent Co-Authors

Jian ShuiD· 2 shared Ke ZhangiD· 2 shared Koseki J. Kobayashi-KirschvinkiD· 2 shared Peter T. C. SoiD· 2 shared Aviv RegeviD· 1 shared Baoliang GeiD· 1 shared Chia-Kang Ho· 1 shared Claire CallahaniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 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

2 shared papersSystems Biology

Jian ShuORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

RamanOmics Decodes Spatial Vibrational-Molecular Architecture and Rewiring in Aging and Repair

Ke Zhang, Xingjian Chen, Francesco Monticolo, Salvatore Sorrentino, Haochun Huang, Claire Callahan, Yueqing Qiao, Judy Zhou, Sonia Brodowska, Styliani Sapantzi, Jianhuan Qi, Yinghan Wu, Thai Nam Son Dang, Francesca Viggiani, Chia-Kang Ho, , Jian Shu

RamanOmics integrates snRNA-seq, spatial transcriptomics, and Raman imaging to map spatial biochemical and molecular changes in aging and repair, identifying senescent cell signatures and their functional roles.

bioRxiv · Dec 8, 2025 · PreprintSystems Biology

Raman2RNA: Live-cell label-free prediction of single-cell RNA expression profiles by Raman microscopy

Koseki J. Kobayashi-Kirschvink, Shreya Gaddam, Taylor James-Sorenson, Emanuelle I. Grody, Johain R. Ounadjela, Baoliang Ge, Ke Zhang, Jeon Woong Kang, Ramnik J. Xavier, Peter T. C. So, Tommaso Biancalani, Jian Shu, Aviv Regev

Raman2RNA predicts single-cell RNA expression profiles from live-cell Raman microscopy images using machine learning, achieving high accuracy in tracking cell state transitions during reprogramming.

bioRxiv · Nov 30, 2021 · PreprintGenomics