Author

Xiaozhe Wan

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Mingyue ZhengiD· 2 shared Dingyan WangiD· 1 shared Feisheng ZhongiD· 1 shared Haotian Chu· 1 shared Hualiang JiangiD· 1 shared Kaixian CheniD· 1 shared Liwei Liu· 1 shared Tianbiao Yang· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Mingyue ZhengORCID

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2 papers

Recent·Most cited

SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences

Zhaoping Xiong, Xintao Fang, Haotian Chu, Xiaozhe Wan, Liwei Liu, Yameng Li, Wenkai Xiang, Mingyue Zheng

SciMind is a multimodal model designed to handle pharmaceutical sciences data, showing good performance in text comprehension and molecular tasks.

Proceedings of the 1st Workshop on Language + Molecules (L+M 2024) · Jan 1, 2024Peer-reviewedBioinformatics

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