Clustering individuals using INMTD: A novel versatile multi-view embedding framework integrating omics and imaging data

Keyphrases

• Imaging Data 100%
• Clustering Methods 100%
• Omics Data 100%
• Non-negative Matrix Tri-factorization 100%
• Embedding Framework 100%
• Image Data 50%
• 3D Image 50%
• 3D Imaging 50%
• Biologically Relevant 50%
• Single View 50%
• Distinctive Features 50%
• Genomic Data 50%
• Synthetic Data 50%
• Omics 50%
• Facial Morphology 50%
• Internal Quality 50%
• Derived Subgroup 50%
• Omics Imaging 50%
• Adjusted Rand Index 50%
• Embedding Vector 50%

Computer Science

• Multi View Clustering 100%
• Internal Quality 50%
• External Quality 50%

Biochemistry, Genetics and Molecular Biology

• Tamsulosin 100%
• Genetics 50%
• Genomics 25%