Author

Xiaojian Liu

Shanghai Jiao Tong UniversityORCID 0000-0002-4151-7466Unclaimed ORCID profile · follow to get notified of new preprints

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Xiaojian Liu1 paper · Shanghai Jiao Tong University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Research Focus:differential expression· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Hong‐Bin SheniD· 2 shared Xiaoyong PaniD· 2 shared Biao ZhangiD· 1 shared Hehe Wu· 1 shared Luhao ShiiD· 1 shared Shengfan WangiD· 1 shared Xiaohan Sally Ding· 1 shared Yan HuangiD· 1 shared

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2024-2025 · peak 1/yr

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2 shared papersBioinformatics

Hong‐Bin ShenORCID

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2 papers

Recent·Most cited

RBPSignal: A deep learning approach for predicting RNA-Protein binding signals

Xiaohan Sally Ding, Zidong Alex Shu, Shengfan Wang, Luhao Shi, Yan Zhou, Biao Zhang, Hong‐Bin Shen, Xiaojian Liu, Xiaoyong Pan

RBPSignal predicts RNA-protein binding signals using deep learning and identifies sequence motifs, validated against eCLIP data and existing databases.

bioRxiv · May 19, 2025 · PreprintBioinformatics

Decoding protein binding landscape on circular RNAs with base-resolution Transformer models

Hehe Wu, Xiaojian Liu, Yi Fang, Yang Yang, Yan Huang, Xiaoyong Pan, Hong‐Bin Shen

The paper introduces CircSite, a deep learning tool that predicts RBP binding sites on circRNAs at single-nucleotide resolution and identifies key binding subsequences.

Computers in Biology and Medicine · Feb 22, 2024Peer-reviewedBioinformatics