Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction.
Gianvito PioPaolo MignoneGiuseppe MagazzùGuido ZampieriMichelangelo CeciClaudio AngionePublished in: Bioinform. (2022)
Keyphrases
- transfer learning
- structure learning
- gene regulatory networks
- saccharomyces cerevisiae
- regulatory networks
- labeled data
- machine learning
- reinforcement learning
- systems biology
- active learning
- metabolic pathways
- gene expression data
- text classification
- reverse engineering
- collaborative filtering
- semi supervised learning
- text categorization
- gene networks
- text mining
- network model
- learning algorithm
- graphical models
- gene regulation
- decision trees
- data sets
- dynamic bayesian networks
- bayesian networks
- machine learning algorithms
- microarray data
- high throughput
- feature selection
- biological networks
- nearest neighbor
- microarray
- high dimensional
- interaction networks
- unlabeled data