Author

Liting Zou

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

Biology Disciplines

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Genomics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:Arabidopsis· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Peipei WangiD· 2 shared Xinyi Zuo· 2 shared Fanrui MengiD· 1 shared Fei Wang· 1 shared Fei WangiD· 1 shared Hantang HuangiD· 1 shared Hongyan Shan· 1 shared Hongzhi KongiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenomics

Peipei WangORCID

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2 papers

Recent·Most cited

Haplotype-resolved genome assembly advances genetic understanding of trait diversity in Phalaenopsis orchids

Ruidong Jia, Xinyi Zuo, Liting Zou, L. Wang, Letian Lin, Zhiqing Wang, Yuexia Zhang, Xingyu Chen, Fanrui Meng, Hantang Huang, Lan Lan, Zhimei Li, Fei Wang, Yuxuan Jin, Hongyan Shan, , Peipei Wang

This study presents a haplotype-resolved genome for Phalaenopsis orchids, revealing genetic factors underlying trait diversity such as lip morphology and color patterns.

bioRxiv · Feb 26, 2026 · PreprintGenomics

Usefulness of scRNA-seq data in predicting plant metabolic pathway genes

Jing-wei Ma, Zhenglin Wang, Liting Zou, Xiaoxue Wang, Xinyi Zuo, Fei Wang, Zhiqing Wang, Zhimei Li, Lin Li, Peipei Wang

This study uses scRNA-seq data with machine learning to predict plant metabolic pathway genes, finding higher accuracy compared to bulk RNA-seq and suggesting more benchmark genes improve predictions.

bioRxiv · Oct 7, 2024 · PreprintPlant Biology