Author

Xitong Zhang

Worcester Polytechnic InstituteORCID 0000-0002-4379-8089Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Chuangqi WangiD· 2 shared Hee June Choi· 2 shared Kwonmoo LeeiD· 2 shared Aaron Choi· 1 shared Bolun LiniD· 1 shared Carly Whittle· 1 shared Eunice KimiD· 1 shared Holly R. SteachiD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Chuangqi WangORCID

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3 papers

Recent·Most cited

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning

Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia B. Ivanova, Matthew Hirn, Michael Perlmutter, Smita Krishnaswamy

This paper introduces GEFMAP, a geometric deep learning method to predict metabolic flux from scRNA-seq data, estimating reaction rates in metabolic networks.

Lecture notes in computer science · Jan 1, 2024Peer-reviewedBioinformatics

MARS-Net: Deep learning-based segmentation pipeline for profiling cellular morphodynamics from multiple types of live cell microscopy

Junbong Jang, Chuangqi Wang, Xitong Zhang, Hee June Choi, Xiang Pan, Bolun Lin, Yudong Yu, Carly Whittle, Madison Ryan, Yenyu Chen, Kwonmoo Lee

MARS-Net is a deep learning pipeline that improves cell edge segmentation across multiple live cell microscopy types, enabling accurate morphodynamics analysis.

bioRxiv · Apr 5, 2021 · PreprintBioinformatics

Edge Detection of Cryptic Lamellipodia Assisted by Deep Learning

Chuangqi Wang, Shawn Kang, Eunice Kim, Xitong Zhang, Hee June Choi, Aaron Choi, Kwonmoo Lee

This paper uses deep learning to detect cryptic lamellipodia edges in fluorescence time-lapse movies of collective cell migration, improving accuracy over conventional methods.

bioRxiv · Sep 13, 2017 · PreprintBioinformatics