Feature-specific quantile normalization and feature-specific mean-variance normalization deliver robust bi-directional classification and feature selection performance between microarray and RNAseq data.
Daniel SkublenySunita GhoshJennifer SpratlinDaniel E. SchillerGina R. RayatPublished in: BMC Bioinform. (2024)
Keyphrases
- feature selection
- microarray
- feature subset
- irrelevant features
- bi directional
- data sets
- gene expression microarray data
- feature set
- gene expression data sets
- microarray data
- gene expression data
- microarray datasets
- feature vectors
- experimental conditions
- high dimensionality
- gene expression
- data analysis
- classification accuracy
- model selection
- dna microarray
- support vector machine
- dna microarray data
- acute leukemia
- gene expression profiles
- gene selection
- support vector
- cancer datasets
- decision trees
- machine learning
- regulatory networks
- cancer diagnosis
- classification models
- tissue samples