SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks.
Niloofar AghaieabianeIoannis KoutisPublished in: CoRR (2022)
Keyphrases
- semi supervised
- gene expression
- gene regulatory networks
- gene networks
- microarray
- semi supervised learning
- gene expression data
- gene expression profiles
- clustering algorithm
- protein protein interaction networks
- semi supervised clustering
- unsupervised learning
- interaction networks
- semi supervised classification
- gene expression analysis
- co training
- k means
- gene ontology
- differential expression
- active learning
- escherichia coli
- instance level constraints
- gene sets
- biomedical literature
- biological processes
- pairwise constraints
- biological networks
- gene selection
- clustering method
- regulatory networks
- signaling pathways
- network model
- cost sensitive
- multi view
- gene ontology terms
- microarray gene