Identifying the best metrics to find the best quality clusters of genes from gene expression data.
Raihanoor Reza RayonJoydhriti ChoudhuryMd. Tawhidul IslamTanzima Rahman RoshniFaisal Bin AshrafRasif AjwadMd. Abdul MottalibPublished in: ICBRA (2019)
Keyphrases
- gene expression data
- gene expression
- analysis of gene expression data
- expression patterns
- microarray
- gene microarray data
- microarray data
- biologically significant
- gene regulatory networks
- gene expression analysis
- microarray gene expression data
- gene expression datasets
- gene clusters
- cancer classification
- feature selection
- data sets
- high dimensionality
- gene selection
- clustering gene expression data
- gene expression profiling
- regulatory networks
- high dimensional data
- saccharomyces cerevisiae
- gene regulation
- gene expression patterns
- clustering algorithm
- gene networks
- genomic data
- gene expression data sets
- yeast cell cycle
- analysis of gene expression
- microarray datasets
- gene expression data analysis
- high dimensional
- informative genes
- gene expression profiles
- biologically relevant
- biological information
- microarray data analysis
- colon cancer
- cancer diagnosis
- dna microarray data
- feature space
- clustering quality
- data points