Identifying Cell Types in Single-Cell Multimodal Omics Data via Joint Embedding Learning

Keyphrases

• Multimodal Data 100%
• Omics Data 100%
• Single-cell Omics 100%
• Classification Methods 66%
• Dimensionality Reduction 66%
• Multimodal Omics 66%
• Cluster Analysis 33%
• Predictive Algorithm 33%
• Cell Population 33%
• Relative Contribution 33%
• Compact Representation 33%
• Cell Development 33%
• Computational Challenges 33%
• Reduction Method 33%
• Population Development 33%
• Classification Task 33%
• Low-dimensional Space 33%
• Loss-based 33%
• Non-negative Matrix Factorization 33%
• Data Modality 33%
• Cluster Classification 33%
• Discriminative Features 33%
• Single-cell Technologies 33%
• Unified Embedding 33%
• Art Classification 33%
• Technology Profile 33%
• Noisy Features 33%
• Cell Identity 33%

Computer Science

• Classification Method 100%
• Dimensionality Reduction 100%
• Classification Task 50%
• Relative Contribution 50%
• Clustering Analysis 50%
• nonnegative matrix factorization 50%
• Discriminative Feature 50%
• Lower Dimensional Space 50%