Author

Jing Zhao

Sichuan Agricultural UniversityORCID 0000-0002-5355-802XUnclaimed ORCID profile · follow to get notified of new preprints

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Jing Zhao14 papers · BGI Group (China)

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Anjun MaiD· 1 shared Can CuiiD· 1 shared Diyan LiiD· 1 shared Dong He XuiD· 1 shared Huadong YiniD· 1 shared Junyi CheniD· 1 shared Lang LiiD· 1 shared Lin YeiD· 1 shared

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2019-2021 · peak 1/yr

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10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Anjun MaORCID

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2 papers

Recent·Most cited

Deep Transfer Learning of Drug Responses by Integrating Bulk and Single-cell RNA-seq data

Junyi Chen, Zhenyu Wu, Ren Qi, Anjun Ma, Jing Zhao, Dong He Xu, Lang Li, Qin Ma

This paper introduces scDEAL, a deep transfer learning framework that predicts cancer drug responses from single-cell RNA-seq data by integrating bulk RNA-seq drug response data and interpretable gene signatures.

bioRxiv · Aug 1, 2021 · PreprintBioinformatics

The landscape of DNA methylation associated with the transcriptomic network in laying hens and broilers generates insight into embryonic muscle development in chicken

Zihao Liu, Xiaoxu Shen, Shunshun Han, Yan Wang, Qing Zhu, Can Cui, Yuqi Chen, Jing Zhao, Yuqi Chen, Yao Zhang, Lin Ye, Zhichao Zhang, Diyan Li, Xiaoling Zhao, Huadong Yin

This study investigates DNA methylation and transcriptomic networks in chicken embryos to understand muscle development differences between broilers and laying hens.

International Journal of Biological Sciences · Jan 1, 2019Peer-reviewedBioinformatics