Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases.
Paul SchererMaja TrebaczNikola SimidjievskiRamón ViñasZohreh ShamsHelena Andrés-TerréMateja JamnikPietro LiòPublished in: Bioinform. (2022)
Keyphrases
- gene expression data
- gene expression
- microarray
- microarray data
- functional genomics
- high dimensionality
- gene expression analysis
- data sets
- high dimensional data
- analysis of gene expression data
- feature selection
- gene expression data analysis
- gene expression datasets
- microarray gene expression data
- gene selection
- regulatory networks
- cancer classification
- machine learning
- gene expression profiles
- gene expression data sets
- gene regulatory networks
- cancer diagnosis
- gene expression patterns
- microarray datasets
- high dimensional
- clustering gene expression data
- dna microarray
- high throughput
- unsupervised learning
- molecular biology
- dimensionality reduction