Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network.
Hyobin KimStalin MuñozPamela OsunaCarlos GershensonPublished in: CoRR (2020)
Keyphrases
- multi class classification
- biological networks
- convolutional neural network
- multi class
- face detection
- biological systems
- gene expression
- biological data
- binary classification
- link prediction
- complex networks
- support vector
- graph mining
- pattern mining
- multi task learning
- community detection
- neural network
- network analysis
- microarray
- multi task
- support vector machine
- protein protein interactions
- pairwise
- social network analysis
- semi supervised
- information extraction
- learning problems
- gene regulatory networks
- feature vectors
- network structure