Transfer learning across cancers on DNA copy number variation analysis

Keyphrases

• Transfer Learning 100%
• Copy number Variation 100%
• Copy number Analysis 100%
• Gene Copy number Variation 100%
• Fused Lasso 45%
• Tumor Subtype 36%
• Latent Components 27%
• Knowledge Transfer 18%
• Ovarian Cancer 9%
• Breast Cancer 9%
• Tumor 9%
• Type-specific 9%
• Bladder Cancer 9%
• Cancer Genes 9%
• Dataset Analysis 9%
• Matrix Factorization 9%
• Multi-copy 9%
• Array Comparative Genomic Hybridization (aCGH) 9%
• SNP Genotyping Array 9%
• Cancer Types 9%
• Type number 9%
• Multiple Datasets 9%
• Learning Framework 9%
• Cross-domain Analysis 9%
• Cross-dataset 9%
• Patient Samples 9%
• Tumor Stage 9%
• Variation Data 9%

Biochemistry, Genetics and Molecular Biology

• Copy-Number Variation 100%
• Transfer of Learning 100%
• Oncogene 7%
• Array Comparative Genomic Hybridization 7%
• SNP Genotyping 7%
• Cancer Staging 7%

Computer Science

• Transfer Learning 100%
• Knowledge Transfer 33%
• Learning Framework 16%
• Matrix Factorization 16%
• Domain Analysis 16%