Author

Michael Lin

Boston College

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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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Benjamin L. ParkeriD· 1 shared Bingxin Zhou· 1 shared Bobae AniD· 1 shared Boxuan ChangiD· 1 shared BumJin KoiD· 1 shared Changyang LinghuiD· 1 shared Chunlei LiuiD· 1 shared Denise J. CaiiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Benjamin L. ParkerORCID

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2 papers

Recent·Most cited

Multiplexed, scalable analog recording of gene regulation dynamics over weeks using intracellular protein tapes

Lirong Zheng, Dongqing Shi, Yixiao Yan, Bingxin Zhou, Jormay Lim, Yongjie Hou, Bobae An, Jason Ken Adhinarta, Michael Lin, BumJin Ko, William C. Joesten, Mehul Gautam, Elie D.M. Huez, Eung Chang Kim, Emily Klyder, , Changyang Linghu

This paper introduces CytoTape, a tool for continuous, multiplexed recording of gene regulation dynamics over weeks at single-cell resolution, and demonstrates its use in measuring transcription factor activities.

Nature · Jan 26, 2026Peer-reviewedSynthetic Biology

SnapKin: a snapshot deep learning ensemble for kinase-substrate prediction from phosphoproteomics data

Di Xiao, Michael Lin, Chunlei Liu, Thomas A. Geddes, James G. Burchfield, Benjamin L. Parker, Sean J. Humphrey, Pengyi Yang

The paper develops SnapKin, a deep learning ensemble model for kinase-substrate prediction from phosphoproteomics data, achieving the best performance in this task.

NAR Genomics and Bioinformatics · Oct 11, 2023Peer-reviewedBioinformatics