Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data.
Runpu ChenLe YangSteve GoodisonYijun SunPublished in: Bioinform. (2020)
Keyphrases
- deep learning
- genomic data
- gene expression profiles
- gene expression data
- high dimensional
- cancer diagnosis
- microarray data
- microarray
- gene expression
- gene selection
- cancer classification
- high dimensionality
- unsupervised learning
- breast cancer
- high throughput
- machine learning
- biological data
- microarray datasets
- low dimensional
- high dimensional data
- mental models
- dimensionality reduction
- nearest neighbor
- protein protein interactions
- feature selection
- feature space
- weakly supervised
- experimental conditions
- data mining
- information retrieval
- data points
- data sets
- gene ontology
- feature extraction
- information extraction
- sparse representation