Towards integrated oncogenic marker recognition through mutual information-based statistically significant feature extraction: an association rule mining based study on cancer expression and methylation profiles.
Saurav MallikZhongming ZhaoPublished in: Quant. Biol. (2017)
Keyphrases
- statistically significant
- association rule mining
- feature extraction
- association rules
- attitudes toward
- data mining
- learning styles
- control group
- statistical significance
- male and female
- itemsets
- computer assisted instruction
- multiple regression analysis
- feature selection
- cognitive style
- associative classification
- gender differences
- positive and negative association rules
- classification rule mining
- males and females
- association rule mining algorithm
- dependent variables
- mining algorithm
- information retrieval