Author

Ruichu Gu

Peking University

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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Bioinformatics· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Approach:deep learning· 3 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:transformer / foundation model· 2 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Yongge LiiD· 3 shared Han WeniD· 2 shared Baijun DongiD· 1 shared Bo He· 1 shared Chengqi YiiD· 1 shared Chunyan TianiD· 1 shared Fuchu He· 1 shared Guolin KeiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersBioinformatics

Yongge LiORCID

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Author profile →

4 papers

Recent·Most cited

MEGA-ODE: Learning Biologically Structured and Navigable Continuous Perturbation Dynamics from Sparse Omics

Yujia Xiang, Yongge Li, Chunyan Tian, Ruichu Gu, Fuchu He, Han Wen, Linhai Xie, Peijie Zhou

MEGA-ODE reconstructs dynamic omics landscapes from sparse data, predicts unmeasured states, and prioritizes perturbations toward biological endpoints.

bioRxiv · Aug 5, 2026 · PreprintBioinformatics

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy Response

Zexi Chen, Sai Tian, Jiazheng Pei, Ruichu Gu, Yongge Li, Shizhi Ding, Yaqian Xu, Xinlong Zheng, Miaoyu Liu, Xinxing Du, Junchao Zhu, Jiawei Zou, Jing Xu, Wenli Jiang, Ye Chen, , Luonan Chen

UniCure predicts personalized cancer therapy response by integrating omics and chemical models, achieving high accuracy in drug response and combination effects across diverse data.

bioRxiv · Jun 14, 2025 · PreprintBioinformatics

MethylQUEEN: A Methylation Encoded DNA Foundation Model

Mingyang Li, Ruichu Gu, Shiyu Fan, Yu Fan, Bo He, Jin Min Yang, Yuting Chen, Mengling Xin, Han Wen, Chengqi Yi

MethylQUEEN is a DNA methylation foundation model that captures epigenetic information and enables tissue-of-origin tracing and disease detection through methylation patterns.

bioRxiv · Dec 26, 2024 · PreprintGenomics

UNI-RNA: UNIVERSAL PRE-TRAINED MODELS REVOLUTIONIZE RNA RESEARCH

Xi Wang, Ruichu Gu, Zhiyuan Chen, Yongge Li, Xiao-Hong Ji, Guolin Ke, Han Wen

Uni-RNA, a deep learning model pre-trained on a large RNA sequence corpus, is reported to lead existing methods on structural and functional prediction tasks after fine-tuning.

bioRxiv · Jul 11, 2023 · PreprintBioinformatics