Finding Important Genes from High-Dimensional Data: An Appraisal of Statistical Tests and Machine-Learning Approaches
Chamont WangJana GevertzChaur-Chin ChenLeonardo AuslenderPublished in: CoRR (2012)
Keyphrases
- high dimensional data
- machine learning approaches
- statistical tests
- gene expression data
- machine learning methods
- high dimensionality
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- machine learning
- subspace clustering
- data sets
- statistical methods
- data analysis
- statistically significant
- sample size
- machine learning algorithms
- similarity search
- statistical analysis
- small sample size
- data points
- microarray data
- statistical significance
- high dimensional data sets
- gene expression
- clustering high dimensional data
- high dimensional datasets
- manifold learning
- microarray
- input data
- feature selection
- dimensional data
- locally linear embedding
- learning environment
- computer vision
- data mining