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Zhixi Yun

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Articles 7
Citations 181
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Recent Articles
1.
Liu Y, Jiang S, Li Y, Zhao S, Yun Z, Zhao Z, et al.
Nat Commun . 2024 Nov; 15(1):10269. PMID: 39592611
We conducted a large-scale whole-brain morphometry study by analyzing 3.7 peta-voxels of mouse brain images at the single-cell resolution, producing one of the largest multi-morphometry databases of mammalian brains to...
2.
Han X, Guo S, Ji N, Li T, Liu J, Ye X, et al.
Sci Adv . 2023 Oct; 9(41):eadf3771. PMID: 37824619
Quantifying neuron morphology and distribution at the whole-brain scale is essential to understand the structure and diversity of cell types. It is exceedingly challenging to reuse recent technologies of single-cell...
3.
Liu Y, Jiang S, Li Y, Zhao S, Yun Z, Zhao Z, et al.
Res Sq . 2023 Aug; PMID: 37546984
We conducted a large-scale study of whole-brain morphometry, analyzing 3.7 peta-voxels of mouse brain images at the single-cell resolution, producing one of the largest multi-morphometry databases of mammalian brains to...
4.
Liu L, Yun Z, Manubens-Gil L, Chen H, Xiong F, Dong H, et al.
Res Sq . 2023 Jul; PMID: 37398060
Classifications of single neurons at brain-wide scale is a powerful way to characterize the structural and functional organization of a brain. We acquired and standardized a large morphology database of...
5.
Hawrylycz M, Martone M, Ascoli G, Bjaalie J, Dong H, Ghosh S, et al.
PLoS Biol . 2023 Jun; 21(6):e3002133. PMID: 37390046
Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is...
6.
Peng H, Xie P, Liu L, Kuang X, Wang Y, Qu L, et al.
Nature . 2021 Oct; 598(7879):174-181. PMID: 34616072
Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types, yet our knowledge of its diversity remains limited. Here, to systematically...
7.
Zhang Y, Liu T, Chen L, Yang J, Yin J, Zhang Y, et al.
Bioinformatics . 2019 Jan; 35(17):3199-3202. PMID: 30668649
Motivation: Numerous experimental and computational studies in the biomedical literature have provided considerable amounts of data on diverse RNA-RNA interactions (RRIs). However, few text mining systems for RRIs information extraction...