Human DNA/RNA motif mining using deep-learning methods: a scoping review

This study concludes that the application of existing deep-learning methods in the field of motif discovery is the faster way to process complex data relevant to genomic sequences. Through the PRISMA-ScR reporting guidelines and literature survey analysis, more than 30 existing deep-learning models are compared, and it is concluded that complex DL models are preferred over simpler DL models in terms of performance and scalability evaluation. Selective selection of a DL model architecture can be made to understand the complex behavior of motifs and their associated regulatory mechanism at the gene level.
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - Category: Bioinformatics Source Type: research