Author

Hui Tang

Medical University of South Carolina

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1 Genetic & Genomic Medicine· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Bo HuiD· 1 shared Caylee Silvers· 1 shared Cheng-Bin Xiang· 1 shared Chunhua ZhangiD· 1 shared Deanna Marie TiekiD· 1 shared Haiqiang ZhangiD· 1 shared Jie-Li Mao· 1 shared Jingyu Zhao· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCancer Biology

Bo HuORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

iPSC-Derived Microglia-like Cells Exhibit Protocol-Dependent Transcriptomic Features and Robust Phagocytosis of Glioma Cells

Maya N. Walker, Hui Tang, Caylee Silvers, Sasha Roth, Deanna Marie Tiek, Bo Hu, Shi‐Yuan Cheng, Xiao Song

The paper compares iMG differentiation protocols and finds protocol-dependent transcriptomic differences and phagocytic activity against glioma cells.

bioRxiv · Jul 22, 2026 · PreprintCancer Biology

Detection of early-onset severe preeclampsia by cell-free DNA fragmentome

Haiqiang Zhang, Longwei Qiao, Xintao Hu, Chunhua Zhang, Yu Lin, Jingyu Zhao, Xiaojuan Wu, Xiao‐Yan Song, Hui Tang, Ying Wen Xue, Yang Sun, Rijing Ou, Xinxin Wang, Yan Zhang, Xin Jin, Ting Wang

This paper develops a machine-learning model using cfDNA fragmentation patterns to predict early-onset severe preeclampsia with high accuracy in early pregnancies and NIPT samples.

medRxiv · Mar 22, 2024 · PreprintGenetic & Genomic Medicine

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie

AnatomyNet is a 3D squeeze-and-excitation U-Net for fast and automated whole-volume head and neck anatomical segmentation, achieving improved Dice similarity coefficients over existing methods.

bioRxiv · Aug 16, 2018 · PreprintBioengineering

Arabidopsis HB52 mediates the crosstalk between ethylene and auxin signaling pathways by regulating PIN2, WAG1, and WAG2 during primary root elongation

Zi-Qing Miao, Ping-Xia Zhao, Jie-Li Mao, Lin-Hui Yu, Yang Yuan, Hui Tang, Cheng-Bin Xiang

This study identifies HB52 as a key gene mediating ethylene-auxin crosstalk by regulating PIN2, WAG1, and WAG2 during primary root elongation in Arabidopsis.

bioRxiv · Jan 10, 2018 · PreprintPlant Biology