Enhancing subcellular protein localization mapping analysis using Sc2promap utilizing attention mechanisms.

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第一作者： Kaitai,Han

第一单位： Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China.

作者： Kaitai,Han ^[1] ; Xi,Liu ^[1] ; Guocheng,Sun ^[1] ; Zijun,Wang ^[1] ; Chaojing,Shi ^[1] ; Wu,Liu ^[1] ; Mengyuan,Huang ^[1] ; Shitou,Liu ^[1] ; Qianjin,Guo ^[2]

作者单位： Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China. ^[1] Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China. Electronic address: guoqj@iccas.ac.cn. ^[2]

关键词 Clustering Endogenous labeled proteins Large-scale protein image analysis Spatial and channel attention Subcellular protein localization Vector quantization

主题词人类(Humans);计算生物学(Computational Biology);蛋白质类(Proteins);聚类分析(Cluster Analysis);图像处理, 计算机辅助(Image Processing, Computer-Assisted);蛋白质转运(Protein Transport);算法(Algorithms)

DOI 10.1016/j.bbagen.2024.130601

PMID 38522679

发布时间 2024-04-25

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Biochimica et biophysica acta. General subjects

2024年1868卷6期

130601页

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Enhancing subcellular protein localization mapping analysis using Sc2promap utilizing attention mechanisms.

Biochimica et biophysica acta. General subjects

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Biochimica et biophysica acta. General subjects

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Enhancing subcellular protein localization mapping analysis using Sc2promap utilizing attention mechanisms.

Biochimica et biophysica acta. General subjects

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Biochimica et biophysica acta. General subjects

相关期刊

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