Deep Learning to Analyze RNA-Seq Gene Expression Data.
Daniel UrdaJulio Montes-TorresFernando MorenoLeonardo FrancoJosé M. JerezPublished in: IWANN (2) (2017)
Keyphrases
- gene expression data
- deep learning
- gene expression
- microarray
- rna seq
- high throughput
- gene regulatory networks
- microarray data
- data sets
- unsupervised learning
- high dimensionality
- feature selection
- weakly supervised
- machine learning
- gene expression profiles
- high dimensional data
- genomic data
- mental models
- high dimensional
- bayesian networks
- image segmentation
- object recognition
- semi supervised
- microarray datasets
- alternative splicing
- feature space