Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data

Medicine & Life Sciences

• Single-Cell Analysis 80%
• RNA Sequence Analysis 67%
• Astrocytes 12%
• Data Visualization 9%
• Deep Learning 9%
• Blastocyst 7%
• Gene Regulatory Networks 7%
• Cell Communication 6%
• Cluster Analysis 5%
• Datasets 5%
• Alzheimer Disease 5%
• Ligands 4%
• Technology 4%
• Gene Expression 4%

Engineering & Materials Science

• RNA 72%
• Astrocytes 34%
• Ligands 13%
• Data visualization 11%
• Gene expression 10%
• Cells 9%
• Genes 9%
• Deep learning 8%
• Interpolation 8%
• Feature extraction 7%
• Trajectories 6%
• Communication 5%

Chemistry

• RNA Sequencing 100%
• Mixture 26%
• Developmental 12%
• Heterogeneity 9%
• Communication 9%