Enhancing Characteristic Gene Selection and Tumor Classification by the Robust Laplacian Supervised Discriminative Sparse PCA.
Lu-Xing ZhangHe YanYan LiuJian XuJiangning SongDong-Jun YuPublished in: J. Chem. Inf. Model. (2022)
Keyphrases
- tumor classification
- gene selection
- feature selection
- sparse pca
- microarray data
- microarray
- gene expression data
- gene expression profiles
- multi step
- cancer classification
- semi supervised
- dna microarray
- gene expression
- support vector machine svm
- unsupervised learning
- informative genes
- feature set
- high classification accuracy
- image processing
- feature extraction
- machine learning
- feature ranking
- supervised learning
- support vector machine
- decision trees
- microarray datasets
- ensemble methods
- input data
- dimensionality reduction
- feature space
- training data