Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics.
Qiwen HuCasey S. GreenePublished in: PSB (2019)
Keyphrases
- parameter tuning
- dimensionality reduction
- ink bleed
- parameter settings
- denoising
- feature extraction
- image segmentation
- low dimensional
- high dimensional
- high dimensional data
- feature selection
- genome wide
- fuzzy logic controller
- high dimensionality
- principal component analysis
- optical flow
- higher order
- image processing
- structure preserving
- pattern recognition and machine learning
- pattern recognition