Author

Xianggen Liu

Sichuan UniversityORCID 0000-0001-6368-2043Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:perturbation response prediction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

An XiaoiD· 1 shared Bowen KeiD· 1 shared Chengdong ZhangiD· 1 shared Dan Zhao· 1 shared Hailin HuiD· 1 shared Jiancheng Lv· 1 shared Jianyang ZengiD· 1 shared Jinhui Sun· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

An XiaoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 20, 2026

A multi-agent molecular optimization framework leads to a rapid-recovery intravenous anesthetic candidate with an improved safety margin

Z. Y. Xue, Wei Ai, Zhuang Miao…·Bowen Ke

The paper introduces MASCOT, a multi-agent framework for molecular optimization, which improves anesthetic candidates with better safety and recovery properties.

DOI 10.64898/2026.08.17.745149

deep learningstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 7, 2018

Rationalizing Translation Elongation by Reinforcement Learning

Hailin Hu, Xianggen Liu, An Xiao…·Jianyang Zeng

This study introduces RiboRL, a deep reinforcement learning framework for predicting ribosome densities on transcripts, showing improved performance over existing methods.

DOI 10.1101/463976

deep learning

𝕏 PostBluesky