Author

Lin Yang

Hainan UniversityORCID 0009-0002-6591-1393Unclaimed ORCID profile · follow to get notified of new preprints

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Lin Yang3 papers · Columbia University

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Meiling ZouiD· 3 shared Zhiqiang XiaiD· 3 shared Chengcai Xia· 2 shared Sirong JiangiD· 2 shared Tingxun Wu· 2 shared Yingdong Wu· 2 shared Yu XiaiD· 2 shared Zhuang YangiD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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3 shared papersBioinformatics

Meiling ZouORCID

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3 papers

Recent·Most cited

Creator 1.0: Phylogeny-Guided Stagewise Pretraining for Plant Genome Foundation Models across 1,000 Species

Lin Yang, Sirong Jiang, Yubo Li, Meiling Zou, Yu Xia, Lu Wang, Yingdong Wu, Hao Wang, Wei Xie, Zhiqiang Xia

Creator 1.0 is a plant genome foundation model pretrained on 1,000 species using phylogeny-guided stagewise pretraining, achieving strong performance on plant-related tasks.

bioRxiv · Oct 28, 2026 · PreprintGenomics

PlantAI: A Multi-Agent System for Plant Functional Genomics Analysis and Biological Knowledge Interpretation

Tingxun Wu, Zhuang Yang, Jin Shi, Meiling Zou, Yingdong Wu, Sirong Jiang, Chengcai Xia, Lin Kong, Lin Yang, Zhiqiang Xia

PlantAI integrates bioinformatics analysis and knowledge interpretation for plant functional genomics, achieving high recall and accuracy in literature-based evidence retrieval.

bioRxiv · Aug 18, 2026 · PreprintBioinformatics

OryzaG3: A Single-species Genomic Foundation Model Pretrained on Rice Pangenome

Lin Yang, Yu Xia, Zhuang Yang, Chengcai Xia, Tingxun Wu, Meiling Zou, Zhiqiang Xia

OryzaG3 is a rice-specific DNA language model pretrained on a pangenome, achieving competitive performance on a genomic benchmark while improving inference efficiency.

bioRxiv · May 26, 2026 · PreprintBioinformatics