Author

Sophia Hu

University of PittsburghORCID 0000-0002-5950-388XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Sophia Hu1 paper · Brigham and Women's Hospital

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:trajectory inference· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Assay:scRNA-seq· 1 Approach:simulation· 1

Frequent Co-Authors

Gaohan YuiD· 2 shared Jianhua XingiD· 2 shared Ke NiiD· 2 shared Amitava GiriiD· 1 shared Dante PoeiD· 1 shared Guang YaoiD· 1 shared Jingyu ZhangiD· 1 shared Mia Sanborn· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersSystems Biology

Gaohan YuORCID

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2 papers

Recent·Most cited

Epithelial-mesenchymal transition couples with cell cycle arrest at various stages

Sophia Hu, Yong Lu, Gaohan Yu, Zhiqian Zheng, Ke Ni, Amitava Giri, Jingyu Zhang, Yan Zhang, Guang Yao, Jianhua Xing

The paper shows that EMT paths are influenced by cell cycle phase coupling and highlights the limitations of low-dimensional representations in capturing transition dynamics.

Communications Biology · Jan 29, 2026Peer-reviewedSystems Biology

LivecellX: Corrective Deep Learning for Object-Oriented Single-Cell Analysis in Live-Cell Imaging

Ke Ni, Gaohan Yu, Zhiqian Zheng, Yong Lü, Sophia Hu, Dante Poe, Sijie Zhang, Mia Sanborn, Mostofa Uddin, Zilin Wang, Shiman Zhou, Yanshuo Chen, Xueying Zhan, Weikang Wang, Jianhua Xing

LivecellX corrects segmentation and tracking errors in live-cell imaging using deep learning and provides tools for lineage reconstruction and dynamic analysis.

bioRxiv · Feb 23, 2025 · PreprintBioinformatics