Author

Ruoyu Wang

Chinese Academy of Sciences

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

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Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Organism:bacteria (other)· 1 Research Focus:batch correction / integration· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Botao He· 1 shared Chenghan JiangiD· 1 shared Haoran LiiD· 1 shared Hongwu MaiD· 1 shared Jian ZhouiD· 1 shared Jibin SuniD· 1 shared Jinshan Li· 1 shared Junli Wu· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Botao He

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3 papers

Recent·Most cited

Predicting single-molecule chromatin distribution from DNA sequence

Ruoyu Wang, Junru Jin, Sebastian Pott, Jian Zhou

This paper introduces a sequence-to-distribution framework to predict single-molecule chromatin states from DNA sequence, revealing new regulatory mechanisms and variant effects.

bioRxiv · Nov 4, 2026 · PreprintGenomics

ProGenFixer: an ultra-fast and accurate tool for correcting prokaryotic genome sequences using a mapping-free algorithm

Lifu Song, Mei Wang, Xiaoping Liao, Junli Wu, Zhenkun Shi, Ruoyu Wang, Haoran Li, Lulu Liu, Botao He, Xiaomeng Ni, Qinggang Li, Jinshan Li, Hongwu Ma, Ping Zheng, Jibin Sun, Yanhe Ma

ProGenFixer corrects prokaryotic genome sequences using a mapping-free algorithm, achieving high speed and accuracy compared to existing tools.

Computational and Structural Biotechnology Journal · Mar 1, 2026Peer-reviewedBioinformatics

Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

Chenghan Jiang, Ren Zheng, Yongle Ji, Shubin Cao, Yanhua Fang, Zhe Wang, Ruoyu Wang, Shanshan Liang, Shuai Tao

iDLC corrects single-cell batch effects by explicitly disentangling biological and technical features and aligning distributions with geometric constraints, outperforming existing methods in preserving biological structure.

bioRxiv · Feb 20, 2026 · PreprintBioinformatics