Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia.
Yiran ZhangKellie J. ArcherPublished in: BMC Bioinform. (2021)
Keyphrases
- acute myeloid
- variable selection
- high dimensional data
- high dimensional
- dimension reduction
- gene expression data
- nearest neighbor
- high dimensionality
- dimensionality reduction
- data sets
- low dimensional
- data analysis
- input variables
- data points
- subspace clustering
- high dimensional data analysis
- lower dimensional
- low rank
- variable weighting
- linear discriminant analysis
- machine learning
- input space
- high dimensional datasets
- pattern recognition
- microarray data
- sparse representation
- model selection
- gaussian processes
- risk assessment
- clustering high dimensional data
- data mining