World's Best Scientists 2026 revealed!
Xuegong Zhang

Xuegong Zhang

D-Index & Metrics

Biology and Biochemistry

D-Index
57
Citations
20591
World Ranking
13540
National Ranking
414

Overview

Xuegong Zhang is affiliated with Tsinghua University in China and specializes in the field of Biochemistry, Genetics and Molecular Biology. Their research primarily focuses on molecular biology with significant contributions to immunology, biophysics, cancer research, and artificial intelligence applied to biological data.

The scientist's work covers key topics including single-cell and spatial transcriptomics, gene regulatory network analysis, cell image analysis techniques, gene expression and cancer classification, immune cells in cancer, bioinformatics and genomic networks, and cancer genomics and diagnostics.

Recent publications by Xuegong Zhang include:

  • Large-scale foundation model on single-cell transcriptomics, 2024, Nature Methods
  • Large Scale Foundation Model on Single-cell Transcriptomics, 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • SOMDE: a scalable method for identifying spatially variable genes with self-organizing map, 2021, Bioinformatics
  • Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding, 2022, Nature Machine Intelligence
  • Multifunctional, breathable MXene-PU mesh electronic skin for wearable intelligent 12-lead ECG monitoring system, 2022, Chemical Engineering Journal

Xuegong Zhang commonly publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), Bioinformatics, arXiv (Cornell University), Briefings in Bioinformatics, and Quantitative Biology.

Frequent co-authors include:

  • Lei Wei
  • Minsheng Hao
  • Rui Jiang
  • Sijie Chen
  • Jin Gu

Best Publications

  • DEGseq: an R package for identifying differentially expressed genes from RNA-seq data

    Likun Wang;Zhixing Feng;Xi Wang;Xiaowo Wang

  • A survey of best practices for RNA-seq data analysis

    Ana Conesa;Pedro Madrigal;Pedro Madrigal;Sonia Tarazona;David Gomez-Cabrero

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians

    Norihiro Kato;Fumihiko Takeuchi;Yasuharu Tabara;Tanika N. Kelly

  • Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine

    Chenghai Xue;Chenghai Xue;Fei Li;Tao He;Guo-Ping Liu;Guo-Ping Liu

  • Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network

    S Li;Z Q Zhang;L J Wu;X G Zhang

  • Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data

    Xuegong Zhang;Xin Lu;Qian Shi;Xiu-qin Xu

  • dbSUPER: a database of super-enhancers in mouse and human genome

    Aziz Khan;Xuegong Zhang

  • MicroRNA identification based on sequence and structure alignment

    Xiaowo Wang;Jing Zhang;Fei Li;Jin Gu

  • Predicting features of breast cancer with gene expression patterns.

    Xuesong Lu;Xin Lu;Xin Lu;Zhigang C. Wang;Zhigang C. Wang;J. Dirk Iglehart;J. Dirk Iglehart

  • On ψ-Learning

    Xiaotong Shen;George C Tseng;Xuegong Zhang;Wing Hung Wong

  • Using class-center vectors to build support vector machines

    Xuegong Zhang

  • DEsingle for detecting three types of differential expression in single-cell RNA-seq data.

    Zhun Miao;Ke Deng;Xiaowo Wang;Xuegong Zhang

  • Computational prediction of associations between long non-coding RNAs and proteins

    Qiongshi Lu;Qiongshi Lu;Qiongshi Lu;Sijin Ren;Ming Lu;Yong Zhang

  • Genome-wide Association Analysis of Blood-Pressure Traits in African-Ancestry Individuals Reveals Common Associated Genes in African and Non-African Populations

    Nora Franceschini;Ervin Fox;Zhaogong Zhang;Zhaogong Zhang;Todd L. Edwards

  • Ivermectin inhibits LPS-induced production of inflammatory cytokines and improves LPS-induced survival in mice.

    X. Zhang;Y. Song;X. Ci;N. An

  • Precise temporal regulation of alternative splicing during neural development.

    Sabastien Matthieu Weyn-Vanhentenryck;Huijuan Feng;Huijuan Feng;Dmytro Ustianenko;Rachel Duffié

  • Kernel Nearest-Neighbor Algorithm

    Kai Yu;Liang Ji;Xuegong Zhang

  • Erratum to: A survey of best practices for RNA-seq data analysis

    Ana Conesa;Pedro Madrigal;Pedro Madrigal;Sonia Tarazona;David Gomez-Cabrero

  • CpG island methylation pattern in different human tissues and its correlation with gene expression

    Shicai Fan;Xuegong Zhang

Frequent Co-Authors

Michael Q. Zhang
Michael Q. Zhang The University of Texas at Dallas
Rui Jiang
Rui Jiang Beijing Jiaotong University
Fengzhu Sun
Fengzhu Sun University of Southern California
Wing Hung Wong
Wing Hung Wong Stanford University
Michael S. Waterman
Michael S. Waterman University of Southern California
Jun S. Liu
Jun S. Liu Harvard University
Jing Wang
Jing Wang Tsinghua University
Pak C. Sham
Pak C. Sham University of Hong Kong
Eric E. Schadt
Eric E. Schadt Icahn School of Medicine at Mount Sinai
Tien Yin Wong
Tien Yin Wong Tsinghua University

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