Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network.
Jin LiuRan SuJiahang ZhangLeyi WeiPublished in: Briefings Bioinform. (2021)
Keyphrases
- gene selection
- cancer classification
- cancer datasets
- breast cancer
- selected genes
- microarray
- breast cancer diagnosis
- cancer diagnosis
- relevant genes
- microarray data
- wilcoxon rank sum
- gene expression data
- neural network
- gene expression profiles
- dna microarray data
- gene expression
- dna microarray
- bladder cancer
- microarray analysis
- informative genes
- microarray datasets
- mammogram images
- support vector machine svm
- feature selection
- cancer detection
- random forest
- early detection
- pattern recognition
- microarray data analysis
- gene expression datasets
- data sets
- knn
- logistic regression
- gene expression analysis
- feature ranking
- support vector
- machine learning methods
- breast cancer patients
- high throughput
- text classification
- support vector machine
- gene sets
- high dimensional
- high dimensionality
- feature extraction
- unsupervised learning
- experimental conditions
- feature vectors