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Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation

机译：整合单细胞RNA-SEQ聚类和注释的深度监督，自我监督和无监督学习

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Liang Chen; Yuyao Zhai; Qiuyan He; Weinan Wang; Minghua Deng;
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年度 2020
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1. A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering [J] . Zhang Hongjing, Zhan Tianyang, Davidson Ian Pattern recognition letters . 2021,第Auga期

机译：无监督的少量学习和聚类自我监督的深度学习框架
2. Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approaches [J] . Da-in Eun, Ryoungwoo Jang, Woo Seok Ha, Scientific reports. . 2020,第1期

机译：基于深度学习的图像质量增强血管壁压缩传感磁共振成像：自我监督和无监督方法比较
3. Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis [J] . Xiangjie Li, Kui Wang, Yafei Lyu, Nature Communications . 2020,第1期

机译：深度学习使得能够在单细胞RNA-SEQ分析中具有准确的聚类批量效应去除
4. Dependence of Unsupervised and Supervised Segment of Three Dimensional Medical Images on Clustering and Deep Learning Formation [C] . Preety International Conference on Computing for Sustainable Global Development . 2019

机译：三维医学图像的无监督和监督部分对聚类和深度学习形成的依赖性
5. Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning [D] . Larsson, Gustav Martin. 2017

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6. Integrating Deep Supervised Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation [O] . Liang Chen, Yuyao Zhai, Qiuyan He, 2020

机译：整合单细胞RNA-SEQ聚类和注释的深度监督自我监督和无监督学习
7. Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approaches [O] . Da-in Eun, Ryoungwoo Jang, Woo Seok Ha, 2020

机译：基于深度学习的图像质量增强血管壁压缩传感磁共振成像：自我监督和无监督方法比较

Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation

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