Deep learning approach for cancer subtype classification using high-dimensional gene expression data.
Jiquan ShenJiawei ShiJunwei LuoHaixia ZhaiXiaoyan LiuZhengjiang WuChaokun YanHuimin LuoPublished in: BMC Bioinform. (2022)
Keyphrases
- gene expression data
- cancer classification
- deep learning
- gene expression profiles
- cancer diagnosis
- cancer datasets
- colon cancer
- high dimensional
- dna microarray
- high dimensionality
- microarray
- gene expression datasets
- gene selection
- tissue samples
- gene expression
- microarray data
- tumor classification
- gene expression analysis
- feature selection
- gene expression data sets
- gene expression profiling
- microarray datasets
- gene expression data analysis
- high dimensional data
- unsupervised learning
- data sets
- feature space
- gene expression microarray data
- analysis of gene expression data
- pattern recognition
- machine learning
- small sample size
- mental models
- high throughput
- breast cancer
- dimensionality reduction
- supervised learning
- support vector machine
- support vector
- training data
- gene ontology terms
- sequence data
- nearest neighbor
- feature vectors
- feature extraction
- data mining