Author

Ning Qu

Chinese Academy of SciencesPrimary ORCID profile (0000-0001-5670-4451 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Ning QuiD1 paper · RWTH Aachen University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Mingyue ZhengiD· 2 shared Shengkun Ni· 2 shared Sulin ZhangiD· 2 shared Xiangtai KongiD· 2 shared Xiaochu Tong· 2 shared Xutong LiiD· 2 shared Jiangshan Shi· 1 shared Kun WangiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Mingyue ZhengORCID

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2 papers

Recent·Most cited

Identify compound-protein interaction with knowledge graph embedding of perturbation transcriptomics

Shengkun Ni, Xiangtai Kong, Yingying Zhang, Zhengyang Chen, Zhaokun Wang, Zunyun Fu, Ruifeng Huo, Xiaochu Tong, Ning Qu, Xiaolong Wu, Kun Wang, Wei Dong Zhang, Runze Zhang, Zimei Zhang, Jiangshan Shi, , Mingyue Zheng

PertKGE improves compound-protein interaction prediction using knowledge graph embedding of perturbation transcriptomics, outperforming baselines in cold-start settings and identifying novel therapeutic targets.

bioRxiv · Apr 8, 2024 · PreprintBioinformatics

TranSiGen: Deep representation learning of chemical-induced transcriptional profile

Xiaochu Tong, Ning Qu, Xiangtai Kong, Shengkun Ni, Kun Wang, Lehan Zhang, Yiming Wen, Sulin Zhang, Xutong Li, Mingyue Zheng

TranSiGen denoises and reconstructs chemical-induced transcriptional profiles using deep generative modeling, effectively predicting differential expression genes and serving as alternative phenotype information for drug discovery.

bioRxiv · Nov 12, 2023 · PreprintBioinformatics