Mining Associations Between Genes and Clinical Conditions of Breast Cancer by Using Gene Expression Data.
Yuefang HouHao ZhangHan ZhangLei CuiPublished in: MedInfo (2017)
Keyphrases
- gene expression data
- breast cancer
- bladder cancer
- gene expression
- dna microarray
- microarray
- breast cancer patients
- selected genes
- cancer datasets
- cancer patients
- cancer classification
- microarray data
- gene selection
- microarray gene expression data
- gene expression datasets
- gene regulatory networks
- data sets
- early detection
- experimental conditions
- gene expression profiling
- gene expression analysis
- biological knowledge
- high dimensionality
- clustering gene expression data
- analysis of gene expression data
- gene expression patterns
- gene expression profiles
- gene networks
- feature selection
- association rules
- informative genes
- logistic regression
- knowledge discovery
- microarray datasets
- regulatory networks
- high dimensional
- cancer diagnosis
- clinical data
- high throughput
- genomic data
- gene expression data sets
- data mining techniques
- text mining
- data mining
- biclustering algorithms
- biological networks
- feature space