Graph pruning based approach for inferring disease causing genes and associated pathways.
Jeethu V. DevasiaPriya ChandranPublished in: Int. J. Bioinform. Res. Appl. (2019)
Keyphrases
- gene interactions
- biological entities
- expression profiles
- gene expression
- signaling pathways
- candidate genes
- biological pathways
- disease genes
- microarray
- protein protein interaction networks
- differentially expressed genes
- gene regulatory networks
- gene expression profiles
- gene expression data
- microarray data
- differential expression
- graph theory
- dna microarray
- metabolic pathways
- complex diseases
- gene gene
- biological processes
- gene gene interactions
- random walk
- genome scale
- gene function
- biomedical literature
- functional genomics
- gene ontology
- graph structure
- gene sets
- gene expression patterns
- genomic data
- experimental conditions
- systems biology
- directed graph
- high throughput
- gene clusters
- sequence similarity
- gene networks
- genomic sequences
- data sets
- molecular biology
- protein protein interactions
- gene selection
- graph mining
- search space