Author

Ning Jiang

Beijing Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Can‐Jun RuaniD· 1 shared Dingjie SuoiD· 1 shared Fang LiuiD· 1 shared Gongshu WangiD· 1 shared Jiping TaniD· 1 shared Lu‐Ning WangiD· 1 shared Shintaro FunahashiiD· 1 shared Tiantian LiuiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Can‐Jun RuanORCID

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2 papers

Recent·Most cited

Using a Deep Generation Network Reveals Neuroanatomical Specificity in Hemispheres

Gongshu Wang, Ning Jiang, Yunxiao Ma, Dingjie Suo, Tiantian Liu, Shintaro Funahashi, Tianyi Yan

This paper uses deep generative networks to identify hemisphere-specific neuroanatomical components by comparing actual and reconstructed hemispheres, revealing individual variation in brain asymmetry.

Patterns · Feb 12, 2024Peer-reviewedNeuroscience

Meta-microRNAs as potential noninvasive markers for early diagnosis of Alzheimer’s disease

Ning Jiang, Can‐Jun Ruan, Xiaorui Cheng, Lu‐Ning Wang, Jiping Tan, Weishan Wang, Fang Liu, Wenxia Zhou, Yongxiang Zhang

The paper identifies a microRNA panel with high diagnostic accuracy for Alzheimer’s disease and mild cognitive impairment using serum samples and MMSE scores.

bioRxiv · Mar 14, 2018 · PreprintNeuroscience