DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites.
Jidong ZhangBo LiuZhihan WangKlaus LehnertMark GaheganPublished in: BMC Bioinform. (2022)
Keyphrases
- binding sites
- convolutional neural network
- dna binding
- protein interaction
- genome wide
- cis regulatory
- protein protein
- genome sequences
- predicting protein
- transcription factors
- sequence alignment
- gene expression
- transcription factor binding sites
- convolutional network
- regulatory elements
- dna sequences
- drosophila melanogaster
- sequence data
- high throughput
- neural network
- secondary structure
- face detection
- motif discovery
- protein sequences
- convolutional neural networks
- protein interaction networks
- genomic sequences
- biological sequences
- protein protein interactions
- protein structure
- regulatory networks
- protein families
- protein complexes
- statistical significance
- protein function
- functional modules
- gene regulation
- influenza virus
- sequence databases
- rna secondary structures
- biological systems
- biological data
- computational methods
- coarse to fine
- detection algorithm
- multiscale