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6 天
PNAS | 定量解构肿瘤微环境:DeSide助力多种肿瘤内细胞丰度的精准预测
中国科学院深圳先进技术研究院李雪飞副研究员团队与香港浸会大学田亮副教授团队展开合作,开发了一种基于深度学习与公开单细胞数据集的解卷积算法。该算法能够较精确地估算19种实体肿瘤中16种细胞类型的丰度。相关研究成果于2024年11月8日以 “DeSide ...
7 天
on MSN
Deep learning architecture enables higher efficiency in light microscopy image improvement
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different ...
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