SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data.
Gian Maria ZaccariaNicola AltiniGiuseppe MezzollaMaria Carmela VeglianteMarianna StranieriSusanna Anita PappagalloSabino CiavarellaAttilio GuariniVitoantonio BevilacquaPublished in: Comput. Methods Programs Biomed. (2024)
Keyphrases
- gene expression data
- survival prediction
- gene expression
- gene selection
- analysis of gene expression
- microarray
- microarray data
- denoising
- cancer classification
- dna microarray data
- gene expression data analysis
- gene expression datasets
- gene regulation
- gene expression analysis
- gene regulatory networks
- gene expression profiles
- biological processes
- dna microarray
- gene expression profiling
- data sets
- microarray gene expression data
- high dimensionality
- gene networks
- regulatory networks
- microarray datasets
- colon cancer
- high throughput
- gene expression data sets
- cancer diagnosis
- analysis of gene expression data
- high dimensional data
- clustering gene expression data
- binding sites
- lung cancer
- molecular biology
- knowledge discovery
- pattern recognition
- feature extraction
- high dimensional
- feature selection
- histopathological images
- machine learning