Profiling single-cell CNAs based on deep learning is becoming a new paradigm of scDNA-seq data analysis, and DeepCNA is an enhancement to the current arsenal of computational methods for investigating cancer genomics.
Keyphrases
- single cell
- copy number
- data analysis
- deep learning
- rna seq
- mitochondrial dna
- convolutional neural network
- genome wide
- papillary thyroid
- high throughput
- artificial intelligence
- dna methylation
- squamous cell
- machine learning
- single molecule
- stem cells
- squamous cell carcinoma
- young adults
- gene expression
- mesenchymal stem cells
- bone marrow
- cell therapy