ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles.
Chinedu Anthony AneneFaraz KhanFindlay Bewicke-CopleyEleni ManiatiJun WangPublished in: Patterns (2021)
Keyphrases
- learning tools
- gene expression profiles
- learning experience
- unsupervised learning
- mobile learning
- supervised learning
- machine learning
- tissue samples
- distance learning
- gene expression
- microarray
- self organizing maps
- semi supervised
- microarray data
- dimensionality reduction
- feature vectors
- gene expression data
- feature space
- feature extraction
- cancer classification
- data sets
- computer supported collaborative