Author

Tianbiao Yang

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.

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:protein sequence· 1

Frequent Co-Authors

Hualiang JiangiD· 2 shared Mingyue ZhengiD· 2 shared Xiaomin LuoiD· 2 shared Chen Zheng· 1 shared Chenmao Zhou· 1 shared Dingyan WangiD· 1 shared Feisheng ZhongiD· 1 shared Hao GuoiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersMolecular Biology

Hualiang JiangORCID

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2 papers

Recent·Most cited

Drug design and repurposing with a sequence-to-drug paradigm

Lifan Chen, Zisheng Fan, Jie Chang, Ruirui Yang, Hao Guo, Yinghui Zhang, Tianbiao Yang, Chenmao Zhou, Zhengyang Chen, Chen Zheng, Xinyue Hao, Keke Zhang, Rongrong Cui, Yiluan Ding, Naixia Zhang, , Mingyue Zheng

This paper introduces a sequence-to-drug paradigm using TransformerCPI2.0 to discover drug-like molecules from protein sequences and validates its effectiveness for three targets.

bioRxiv · Mar 26, 2022 · PreprintMolecular Biology

Computational target fishing by mining transcriptional data using a novel Siamese spectral-based graph convolutional network

Feisheng Zhong, Xiaolong Wu, Xutong Li, Dingyan Wang, Zunyun Fu, Xiaohong Liu, Xiaozhe Wan, Tianbiao Yang, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng

The paper introduces a Siamese spectral-based graph convolutional network to infer protein targets of chemical compounds from gene expression data, achieving better performance than existing methods.

bioRxiv · Apr 1, 2020 · PreprintBioinformatics