Latent Dirichlet Allocation for Classification using Gene Expression Data.
Hima Bindu YalamanchiliSoon Jye KhoMichael L. RaymerPublished in: BIBE (2017)
Keyphrases
- gene expression data
- latent dirichlet allocation
- high dimensionality
- topic models
- gene expression
- microarray
- cancer classification
- gene expression analysis
- gene expression profiles
- feature selection
- dna microarray
- microarray data
- analysis of gene expression data
- feature space
- pattern recognition
- generative model
- machine learning
- high dimensional
- data sets
- gene selection
- training set
- support vector
- text classification
- feature extraction
- image classification
- text mining
- decision trees
- support vector machine svm
- data points
- dimension reduction
- lda model