Ontology highlight
ABSTRACT:
SUBMITTER: Rampelli S
PROVIDER: S-EPMC8062976 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Rampelli Simone S Fabbrini Marco M Candela Marco M Biagi Elena E Brigidi Patrizia P Turroni Silvia S
Frontiers in genetics 20210409
Deep learning methodologies have revolutionized prediction in many fields and show the potential to do the same in microbial metagenomics. However, deep learning is still unexplored in the field of microbiology, with only a few software designed to work with microbiome data. Within the meta-community theory, we foresee new perspectives for the development and application of deep learning algorithms in the field of the human microbiome. In this context, we developed G2S, a bioinformatic tool for ...[more]