Classification of Tumor Gene Expression Data Based on Manifold Learning and Gaussian Process.
Yi WuRuirui JiMengyue GeShuyan ShiPublished in: CISP-BMEI (2019)
Keyphrases
- gene expression data
- manifold learning
- gaussian process
- tumor classification
- cancer diagnosis
- high dimensionality
- tissue samples
- high dimensional data
- semi supervised
- dimensionality reduction
- high dimensional
- dimension reduction
- cancer classification
- microarray
- gene expression
- gene expression profiles
- latent space
- gaussian processes
- microarray data
- gene selection
- low dimensional
- feature selection
- feature extraction
- model selection
- pattern recognition
- data sets
- feature space
- regression model
- latent variables
- supervised learning
- feature vectors
- bayesian framework
- image classification
- cross validation
- hyperparameters
- unsupervised learning
- support vector machine svm
- support vector machine
- data points
- support vector
- machine learning