-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis.
Jin-Xing LiuDong WangYing-Lian GaoChun-Hou ZhengJunliang ShangFeng LiuYong XuPublished in: Neurocomputing (2017)
Keyphrases
- semi supervised
- feature extraction
- data analysis
- rna seq
- manifold learning
- semi supervised learning
- labeled data
- biological data
- high throughput
- preprocessing
- image processing
- supervised learning
- pairwise
- unsupervised learning
- dimension reduction
- data processing
- active learning
- feature selection
- feature vectors
- face recognition
- alternative splicing
- cluster analysis
- data collection
- feature space
- dimensionality reduction
- knowledge discovery
- high dimensional data
- linear discriminant analysis
- high throughput sequencing
- co occurrence
- natural language processing
- data warehouse
- machine learning
- data mining
- gene expression
- high speed
- real time