Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data.
Sedighe RastahiAzadeh SakiHamed TabeshPublished in: BMC Bioinform. (2024)
Keyphrases
- information theory
- false discovery rate
- genomic data
- information theoretic
- high dimensional
- conditional entropy
- feature selection
- gene expression data
- hypothesis testing
- error rate
- jensen shannon divergence
- gene expression
- mutual information
- dimensionality reduction
- data management
- structural properties
- gene ontology
- nearest neighbor
- low dimensional
- high dimensionality
- microarray data
- protein protein interactions
- machine learning