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Mingze Yin on Muck Rack

Mingze Yin

As seen in: Genome Biology, BioRxiv
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Articles

Biology-driven insights into the power of single-cell foundation models - Genome Biology

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By Jialu Wu, Qing Ye, Yilin Wang, RenLing Hu, Yiheng Zhu, Mingze Yin, Tianyue Wang, Jike Wang, Chang-Yu Hsieh, Tingjun Hou
| Genome Biology Verified
In this study, we standardized to select 2000 highly variable genes with a predefined batch key using the Scanpy [62] Python package. Crucially, HVG selection is also part of the data processing protocols of scVI, Harmony, and scGPT. scVI [18] is a variational autoencoder (VAE)-based generative model, which is widely used in single-cell transcriptomics data analysis.
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Multi-Modal CLIP-Informed Protein Editing

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By Hanjing Zhou, Yiheng Zhu, Miao Lin, Mingze Yin
| BioRxiv
Abstract Proteins govern most biological functions essential for life, but achieving controllable protein discovery and optimization remains challenging. Recently, machine learning-assisted protein editing (MLPE) has shown promise in accelerating optimization cycles and reducing experimental workloads.
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