Author

Syuan-Ming Guo

Chan Zuckerberg Biohub San FranciscoORCID 0000-0003-3680-0387Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Syuan-Ming Guo1 paper

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aaron TopoliD· 1 shared Ahmed Sandakli· 1 shared Aidan H. McMorrowiD· 1 shared Ajamete KaykasiD· 1 shared Angela Oliveira PiscoiD· 1 shared Brigham J. Hartley· 1 shared Bryant B. ChhuniD· 1 shared Chang N. KimiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Aaron TopolORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJan 4, 2024

Deep Learning Analysis on Images of iPSC-derived Motor Neurons Carrying fALS-genetics Reveals Disease-Relevant Phenotypes

Rahul Atmaramani, Tommaso Dreossi, Kevin Ford…·Samuel Sances

The paper uses deep learning on images of iPSC-derived motor neurons with fALS mutations to identify disease-relevant phenotypes and molecular differences.

11 citations

𝕏 PostBluesky

BioinformaticsMolecular Biology of the CellPeer-reviewedFeb 9, 2022

DynaMorph: self-supervised learning of morphodynamic states of live cells

Zhenqin Wu, Bryant B. Chhun, Galina Popova…·Shalin B. Mehta

DynaMorph uses self-supervised learning to analyze morphodynamic states of live human microglia, identifying distinct states and transitions in response to disease-relevant stimuli.

46 citationstop 5%

𝕏 PostBluesky