Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders.

Gregory P. Way Casey S. Greene

Published in: PSB (2018)

Keyphrases

biologically relevant
latent space
gene selection
microarray data
latent variables
gene sets
low dimensional
microarray

high dimensional
gaussian process
generative model
gene expression data
denoising
biological networks
image segmentation

feature space
gene ontology
dimensionality reduction
parameter space
gene expression
matrix factorization
feature selection

transfer learning
support vector machine svm
text classification
data mining
high dimensional data
feature extraction
collaborative filtering