Prediction of microRNA-regulated protein interaction pathways in Arabidopsis using machine learning algorithms.
Nilubon KurubanjerdjitChien-Hung HuangYu-Liang LeeJeffrey J. P. TsaiKa-Lok NgPublished in: Comput. Biol. Medicine (2013)
Keyphrases
- machine learning algorithms
- protein interaction
- expression profiles
- protein protein interactions
- binding sites
- computational methods
- gene expression
- predicting protein
- protein interaction data
- transcription factors
- benchmark data sets
- learning algorithm
- machine learning
- machine learning methods
- decision trees
- functional modules
- biological processes
- gene ontology
- biomedical literature
- protein interaction networks
- microarray
- protein function
- protein complexes
- network topology
- biological data
- biological systems
- machine learning models
- secondary structure
- standard machine learning algorithms
- sequence data
- dna sequences
- high throughput
- biological networks
- statistical significance
- gene expression profiles
- high precision
- real world
- systems biology
- supervised learning
- signaling pathways
- information extraction
- dna binding
- pairwise