Musu Yuan 袁睦苏

I am a forth-year Ph.D. candidate in AAIS at the Peking University, Peking, advised by Professor Minghua Deng. Also a visiting student at DBEI, PSOM, University of Pensylvania, advised by Professor Mingyao Li. Previously, I received my B.S. degree in statistics in July 2021 from School of Mathematical Science, Peking University. I participated in the 32nd Chinese Mathematical Olympiad(CMO) in 2016 when I was in Wuhan's No.2 high school. Contact AAIS Peking University, Peking Email: yuanmusu ᴀᴛ pku.edu.cn

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Research Interests

My research interest lies in the broad fields of biostatistics.
I mainly work on developing statistic models for single-cell omics data, spatial transcriptome data and morphology data.

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Preprints

1. Designing smart spatial omics experiments with S2Omics
   Musu Yuan, Kaitian Jin, Hanying Yan, Amelia Schroeder, Chunyu Luo, Sicong Yao, Bernhard Domoulin, Jonathan Levinsohn, Tianhao Luo, Jean R. Clemenceau, Inyeop Jang, Minji Kim, Minghua Deng, Emma E. Furth, Parker Wilson, Jeong Hwan Park, Katalin Susztak, Tae Hyun Hwang, Mingyao Li*
   Major Revision requested by Nature Cell Biology
   

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Publications

1. Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction
   Tianyu Xie^†, Musu Yuan^†, Minghua Deng, Cheng Zhang^*
   Statistics and Computing, Volume 34, article number 186, (2024)
   
2. scPLAN: A hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinement
   Qirui Guo^†, Musu Yuan^†, Lei Zhang^*, Minghua Deng^*
   Briefings in Bioinformatics, Volume 25, Issue 4, July 2024, bbae305
   
3. SPANN: Annotating single-cell resolution spatial transcriptome data with scRNA-seq data
   Musu Yuan^†, Hui Wan^†, Minghua Deng^*
   Briefings in Bioinformatics, Volume 25, Issue 2, March 2024, bbad533
   
4. Continually adapting pretrained language model to universal annotation of single-cell RNA-seq data
   Hui Wan, Musu Yuan, Yiwei Fu, Minghua Deng^*
   Briefings in Bioinformatics, Volume 25, Issue 2, March 2024, bbae047
   
5. Clustering single-cell multi-omics data with MoClust
   Musu Yuan, Liang Chen^*, Minghua Deng^*
   Bioinformatics, Volume 39, Issue 1, January 2023, btac736
6. Clustering CITE-seq data with a canonical correlation-based deep learning method
   Musu Yuan, Liang Chen, Minghua Deng^*
   Frontiers in Genetics, Volume 13 - 2022
7. scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets
   Musu Yuan^†, Liang Chen^†, Minghua Deng^*
   Bioinformatics, Volume 38, Issue 3, February 2022, Pages 738–745

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