Xiang Zhou
Biochemistry, Genetics and Molecular Biology · University of Michigan
Publications
34
Citations
1,470
Est. group size
—
Recurring co-author estimate
Active years
22
Publishing since 2004
Typically publishes in teams of ~6 · 8% small-team papers (≤3 authors) · across 18 venues
- Reversible Control of <scp>RNA</scp> Guided Nucleic Acid Cleavage Based on the Inverse Electron Demand Diels‐Alder Reaction<sup>†</sup>
Chinese Journal of Chemistry · 2025
- Nanoporous Crystalline Materials for the Recognition and Applications of Nucleic Acids (Adv. Mater. 31/2025)
Advanced Materials · 2025
- An update review on biopolymer Xanthan gum: Properties, modifications, nanoagrochemicals, and its versatile applications in sustainable agriculture
International Journal of Biological Macromolecules · 2024
- <scp>Streptavidin‐Biotin</scp> Complexes as Tools for Modulating an Important <scp>DNA</scp> Epigenetic Modification<sup>†</sup>
Chinese Journal of Chemistry · 2024
- The curses of performing differential expression analysis using single-cell data
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Integrating spatial transcriptomics data across different conditions, technologies and developmental stages
Nature Computational Science · 2023
- Catalytic-assembly of programmable atom equivalents
Proceedings of the National Academy of Sciences · 2023
- A Novel Nucleobase Modification Strategy for Controlling RNA-Guided Nucleic Acid Cleavage
CCS Chemistry · 2023
- Nanodelivery of nucleic acids
Nature Reviews Methods Primers · 2022
- Bridge DNA guided assembly of nanoparticles to program chemical reaction networks
Nanoscale · 2022
- Imputing DNA Methylation by Transferred Learning Based Neural Network
Journal of Computer Science and Technology · 2022
- Pre-processing, Dimension Reduction, and Clustering for Single-Cell RNA-seq Data
Springer handbooks of computational statistics · 2022
- Integrating multi-omics data through deep learning for accurate cancer prognosis prediction
Computers in Biology and Medicine · 2021
- Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks
iScience · 2021
- scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species
Briefings in Bioinformatics · 2021
- bioRxiv (Cold Spring Harbor Laboratory)×6
- Proceedings of the National Academy of Sciences×2
- Chinese Journal of Chemistry×2
- Nature Reviews Methods Primers×1
- Computers in Biology and Medicine×1
- Victoria E. Paluzzi
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Chengde Mao
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Chengde Mao
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Cuizheng Zhang
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Xiang Zhou
Biochemistry, Genetics and Molecular Biology · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 25, 2026.
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