A Hidden Markov Model approach to predicting yeast gene function from sequential gene expression data.
Xutao DengHuimin GengHesham H. AliPublished in: Int. J. Bioinform. Res. Appl. (2008)
Keyphrases
- hidden markov models
- gene expression data
- gene function
- saccharomyces cerevisiae
- gene regulatory networks
- biological information
- microarray
- gene ontology
- gene ontology terms
- gene expression
- expression profiles
- microarray data
- high throughput
- regulatory networks
- high dimensionality
- genome wide
- feature selection
- gene expression profiles
- data sets
- gene selection
- gene regulation
- systems biology
- dna microarray
- cancer diagnosis
- genomic data
- high dimensional
- microarray datasets
- textual information
- high dimensional data
- cancer classification
- protein interaction networks
- biological networks
- machine learning