OLYMPUS: An automated hybrid clustering method in time series gene expression. Case study: Host response after Influenza A (H1N1) infection.
Konstantina DimitrakopoulouAristidis G. VrahatisEsther WilkAthanasios K. TsakalidisAnastasios BezerianosPublished in: Comput. Methods Programs Biomed. (2013)
Keyphrases
- clustering method
- gene expression
- influenza virus
- binding sites
- public health
- microarray
- motif discovery
- gene expression data
- microarray data
- cluster analysis
- biological processes
- clustering algorithm
- similarity measure
- hierarchical clustering
- fuzzy c means
- gene expression patterns
- gene expression data analysis
- gene expression profiles
- gene regulation
- affinity propagation
- clustering analysis
- transcription factors
- spectral clustering
- document clustering
- dna microarray
- k means
- regulatory networks
- analysis of gene expression
- biological networks
- high throughput
- data sets
- differentially expressed genes
- dna sequences
- sequence data
- gene expression analysis
- gene regulatory networks
- statistical significance
- gene selection
- computational methods
- pairwise
- data mining