Using ontology embeddings for structural inductive bias in gene expression data analysis.
Maja TrebaczZohreh ShamsMateja JamnikPaul SchererNikola SimidjievskiHelena Andrés-TerréPietro LiòPublished in: CoRR (2020)
Keyphrases
- gene expression data analysis
- inductive bias
- domain knowledge
- gene expression
- gene expression data
- gene expression analysis
- inductive learning
- machine learning
- pac learning
- prior knowledge
- hypothesis space
- microarray
- knowledge representation
- supervised learning
- vector space
- knowledge base
- domain theory
- training examples
- multitask learning
- high dimensional data
- gene selection
- cluster ensemble
- microarray data
- uniform distribution
- low dimensional
- small number
- feature selection