Machine learning and deep learning applications in microbiome research
University of Copenhagen · Novo Nordisk Foundation
Abstract
The many microbial communities around us form interactive and dynamic ecosystems called microbiomes. Though concealed from the naked eye, microbiomes govern and influence macroscopic systems including human health, plant resilience, and biogeochemical cycling. Such feats have attracted interest from the scientific community, which has recently turned to machine learning and deep learning methods to interrogate the microbiome and elucidate the relationships between its composition and function. Here, we provide an overview of how the latest microbiome studies harness the inductive prowess of artificial intelligence methods. We start by highlighting that microbiome data - being compositional, sparse, and…
Citation impact
- FWCI
- 20.36
- Percentile
- 100%
- References
- 106
Authors
7- RHRicardo Hernández MedinaCorresponding
University of Copenhagen, Novo Nordisk Foundation
- SKSvetlana Kutuzova
University of Copenhagen, Novo Nordisk Foundation
- KNKnud Nor Nielsen
University of Copenhagen, Novo Nordisk Foundation
- JJJoachim Johansen
University of Copenhagen, Novo Nordisk Foundation
- LHLars Hestbjerg Hansen
University of Copenhagen
Topics & keywords
- Microbiome
- Deep learning
- Artificial intelligence
- Computer science
- Data science
- Machine learning
- Computational biology
- Biology