Predicting Gene-Disease Associations with Manifold Learning.
Ping LuoLi-Ping TianBolin ChenQianghua XiaoFang-Xiang WuPublished in: ISBRA (2018)
Keyphrases
- manifold learning
- gene gene
- biological entities
- microarray
- genetic variation
- dimensionality reduction
- low dimensional
- biological knowledge
- nonlinear dimensionality reduction
- semi supervised
- high throughput
- gene expression
- high dimensional data
- feature extraction
- high dimensional
- diffusion maps
- manifold structure
- subspace learning
- dimension reduction
- gene expression data
- manifold learning algorithm
- complex diseases
- sparse representation
- head pose estimation
- gene sets
- association rules
- laplacian eigenmaps
- discriminant projection
- least squares
- human genome
- low dimensional manifolds
- protein protein interactions
- manifold embedding
- training data
- image processing
- similarity measure
- feature space
- semi supervised learning
- high dimensionality
- learning algorithm