https://github.com/ZJUFanLab/scDeepSort

Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
https://github.com/ZJUFanLab/scDeepSort

annotation cell-type-classification deep-learning gnn graph-neural-network reference-free scrna-seq single-cell transcriptomics

Last synced: 24 days ago
JSON representation

Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

• Host: GitHub
• URL: https://github.com/ZJUFanLab/scDeepSort
• Owner: ZJUFanLab
• License: gpl-3.0
• Created: 2020-04-18T11:05:21.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-07-06T21:48:12.000Z (over 1 year ago)
• Last Synced: 2024-08-09T13:20:42.673Z (4 months ago)
• Topics: annotation, cell-type-classification, deep-learning, gnn, graph-neural-network, reference-free, scrna-seq, single-cell, transcriptomics
• Language: Python
• Homepage: https://doi.org/10.1093/nar/gkab775
• Size: 19.4 MB
• Stars: 96
• Watchers: 6
• Forks: 17
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• StarryDivineSky - ZJUFanLab/scDeepSort - seq) 的最新进展已经实现了对多个复杂组织中数千个细胞的大规模转录表征，其中准确的细胞类型识别成为 scRNA-seq 研究的先决条件和重要步骤。开发了一种预训练的细胞类型标注方法，scDeepSort 是基于加权 GNN 框架构建的，然后在两个嵌入的高质量 scRNA-seq 图集中学习，该图集包含人类和小鼠 88 个组织中的 764,741 个细胞。 (其他_生物医药 / 网络服务_其他)