Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data.
Guillermo LealeAriel E. BayáDiego H. MilonePablo M. GranittoGeorgina StegmayerPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2018)
Keyphrases
- gene expression data
- gene expression analysis
- gene expression data analysis
- microarray
- gene expression
- regulatory networks
- analysis of gene expression data
- dna microarray
- yeast cell cycle
- gene regulation
- microarray data
- biological information
- gene expression patterns
- gene ontology
- data sets
- high throughput
- gene regulatory networks
- biological processes
- molecular biology
- biological data
- high dimensionality
- gene expression profiles
- protein interaction data
- gene selection
- biological knowledge
- gene expression profiling
- microarray gene expression data
- feature selection
- biologically significant
- analysis of gene expression
- cancer classification
- high dimensional
- functional genomics
- clustering gene expression data
- gene expression datasets
- biclustering algorithms
- cancer diagnosis
- gene networks
- high dimensional data
- database
- data integration
- pattern recognition
- training set