Vec2image: an explainable artificial intelligence model for the feature representation and classification of high-dimensional biological data by vector-to-image conversion-论文-万方医学网

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Vec2image: an explainable artificial intelligence model for the feature representation and classification of high-dimensional biological data by vector-to-image conversion

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第一作者： Tang, Hui

作者： Tang, Hui ^[1] ; Yu, Xiangtian ^[2] ; Liu, Rui ^[3] ; Zeng, Tao

作者单位： South China Univ Technol ^[1] Shanghai Jiao Tong Univ ^[2] Wuhan Univ ^[3]

关键词 explainable artificial intelligence deep residual neural network classification feature selection single-cell sequencing type 2 diabetes CELL RNA-SEQ ENDOPLASMIC-RETICULUM ALGORITHMS OBESITY HEALTH

发布时间 2022-07-12

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Vec2image: an explainable artificial intelligence model for the feature representation and classification of high-dimensional biological data by vector-to-image conversion

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Vec2image: an explainable artificial intelligence model for the feature representation and classification of high-dimensional biological data by vector-to-image conversion

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