Gene Co-Adaboost: a semi-supervised approach for classifying gene expression data.
Nan DuKang LiSupriya D. MahajanStanley A. SchwartzBindukumar B. NairChiu Bin HsiaoAidong ZhangPublished in: BCB (2011)
Keyphrases
- gene expression data
- semi supervised
- gene expression
- microarray
- feature selection
- gene expression analysis
- gene regulatory networks
- microarray data
- gene selection
- data sets
- gene expression datasets
- microarray gene expression data
- gene networks
- cancer classification
- high dimensionality
- dna microarray data
- gene expression profiles
- analysis of gene expression data
- learning algorithm
- regulatory networks
- gene regulation
- gene expression data analysis
- gene expression patterns
- gene expression data sets
- active learning
- pairwise
- microarray datasets
- yeast cell cycle
- gene expression profiling
- cancer diagnosis
- high dimensional data
- informative genes
- ensemble methods
- functional genomics
- biological processes
- biological information
- high throughput
- decision trees
- biological knowledge
- gene clusters
- high dimensional
- pattern recognition
- training data
- colon cancer
- machine learning