Assessment of selection pressure exerted on genes from complete pangenomes helps to improve the accuracy in the prediction of new genes.
Alejandro RubioJuan JiménezAntonio J. Pérez-PulidoPublished in: Briefings Bioinform. (2022)
Keyphrases
- prediction accuracy
- improve the prediction accuracy
- gene expression
- splice site
- escherichia coli
- microarray data
- gene expression data
- gene prediction
- high accuracy
- microarray gene expression data
- roc analysis
- gene regulatory networks
- classification accuracy
- microarray data analysis
- experimental conditions
- biological processes
- random selection
- differentially expressed genes
- gene expression analysis
- biological entities
- computational cost
- microarray
- high prediction accuracy
- genome annotation
- gene networks
- genomic sequences
- gene expression profiles
- protein interaction
- systems biology
- gene selection