Author

Dongxiang Xue

Weill Cornell MedicineORCID 0000-0001-9654-6347Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 3 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Shuibing CheniD· 3 shared Amy J. Swift· 2 shared Angela LeeiD· 2 shared Caleb M. GrenkoiD· 2 shared D. Leland TayloriD· 2 shared Erin C. ManselliD· 2 shared Francis S. CollinsiD· 2 shared Henry J. TayloriD· 2 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Shuibing ChenORCID

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Author profile →

3 papers

Recent·Most cited

Building a literature knowledge base towards transparent biomedical AI

Yuanhao Huang, Zhaowei Han, Xin Luo, Xuteng Luo, Yijia Gao, Meiqi Zhao, Feitong Tang, Yiqun Wang, Jiyu Chen, Chengfan Li, Xinyu Lu, Tiancheng Jiao, Jiahao Qiu, Feiyang Deng, Lingxiao Guan, , Jie Liu

The paper develops a knowledge graph framework to extract biomedical knowledge from PubMed, creating a database that enhances transparency in biomedical AI applications.

bioRxiv · Sep 22, 2024 · PreprintBioinformatics

Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours

Caleb M. Grenko, Henry J. Taylor, Lori L. Bonnycastle, Dongxiang Xue, Brian N. Lee, Zoe Weiss, Tingfen Yan, Amy J. Swift, Erin C. Mansell, Angela Lee, Catherine C. Robertson, Narisu Narisu, Michael R. Erdos, Shuibing Chen, Francis S. Collins, D. Leland Taylor

This study uses single-cell RNA sequencing to analyze gene expression changes in human pancreatic islets under different glucose conditions over 24 hours, identifying genes and modules associated with time, glucose exposure, and their interaction.

Diabetologia · Jul 5, 2024Peer-reviewedGenetics

Functional interrogation of twenty type 2 diabetesassociated genes using isogenic hESC-derived β-like cells

Dongxiang Xue, Narisu Narisu, D. Leland Taylor, Meili Zhang, Caleb M. Grenko, Henry J. Taylor, Tingfen Yan, Xuming Tang, Neelam Sinha, Jiajun Zhu, J. Jeya Vandana, Angie Chi Nok Chong, Angela Lee, Erin C. Mansell, Amy J. Swift, , Francis S. Collins

This study functionally interrogates 20 T2D-associated genes using isogenic hESC-derived β-like cells, identifying variants and genes linked to insulin production and lipotoxicity sensitivity.

Cell Metabolism · Oct 18, 2023Peer-reviewedGenetics