MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks.
Nisar WaniKhalid RazaPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- multiple kernel learning
- gene regulatory networks
- dynamic bayesian networks
- bayesian inference
- feature selection
- gene expression data
- reverse engineering
- linear combination
- network model
- semi supervised learning
- multi kernel
- kernel learning
- learning problems
- kernel methods
- supervised learning
- semi supervised
- kernel function
- biological data
- lp norm
- multiple features
- learning models
- multi task
- unsupervised learning
- machine learning
- structure learning
- binary classification
- probabilistic model
- bayesian networks
- prior information
- learning algorithm
- support vector
- particle filtering
- support vectors
- high dimensionality
- neural network
- unlabeled data
- labeled data
- data sets