End-to-end prediction of protein-protein interaction based on embedding and recurrent neural networks.
Francisco Gonzalez-LopezJuan Andres Morales-CordovillaAmelia Villegas-MorcilloAngel M. GomezVictoria E. SánchezPublished in: BIBM (2018)
Keyphrases
- end to end
- recurrent neural networks
- protein protein interactions
- protein interaction
- predicting protein
- wet lab
- chaotic time series
- computational methods
- neural network
- protein function prediction
- feed forward
- high throughput
- artificial neural networks
- predicting protein protein interactions
- biological processes
- functional modules
- echo state networks
- recurrent networks
- ad hoc networks
- gene expression
- gene ontology
- real time
- genomic data
- high precision
- congestion control
- ppi networks
- network analysis
- multiple sequence alignments
- protein interaction data
- genetic algorithm
- high speed
- biological data
- network topology
- computational approaches
- protein interaction networks
- data mining
- structural properties