Identification of Mild Cognitive Impairment Subtypes using an Interpretable Neural Network based Clustering of Gene Expression Data and Neuroimaging Markers.
Manuskandan S. R.Sreelakshmi SPublished in: EMBC (2023)
Keyphrases
- gene expression data
- gene expression profiles
- mild cognitive impairment
- high degree of accuracy
- gene expression analysis
- analysis of gene expression data
- clustering gene expression data
- microarray
- brain images
- gene expression
- high dimensionality
- gene expression data analysis
- cancer diagnosis
- microarray data
- high dimensional data
- clinical trials
- cancer classification
- data sets
- ad patients
- gene selection
- microarray datasets
- clustering algorithm
- biclustering algorithms
- cluster ensemble
- feature selection
- clustering method
- high dimensional
- k means
- early diagnosis
- medical images
- human brain
- high throughput
- spectral clustering
- magnetic resonance
- data clustering
- document clustering
- mr images
- decision support system
- image data
- machine learning