Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes.
John MattaJunya ZhaoGunes ErcalTayo Obafemi-AjayiPublished in: Appl. Netw. Sci. (2018)
Keyphrases
- theoretic framework
- spectral graph
- information theoretic
- graph structure
- directed graph
- graph theoretic
- clustering algorithm
- graph clustering
- random walk
- clustering method
- undirected graph
- graph partitioning
- self organizing maps
- edge weights
- k means
- nodes of a graph
- graph construction
- feature selection
- densely connected
- graph theory
- bipartite graph
- hierarchical clustering
- data clustering
- cluster analysis
- structured data
- weighted graph
- gene expression
- data points
- pattern recognition
- computer vision
- caenorhabditis elegans