Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
Abstract Alterations in the human microbiome have been observed in a variety of conditions such as asthma, gingivitis, dermatitis and cancer, and much remains to be learned about the links between the microbiome and human health. The fusion of artificial intelligence with rich microbiome datasets ca...
Saved in:
Main Authors: | Anna Paola Carrieri, Niina Haiminen, Sean Maudsley-Barton, Laura-Jayne Gardiner, Barry Murphy, Andrew E. Mayes, Sarah Paterson, Sally Grimshaw, Martyn Winn, Cameron Shand, Panagiotis Hadjidoukas, Will P. M. Rowe, Stacy Hawkins, Ashley MacGuire-Flanagan, Jane Tazzioli, John G. Kenny, Laxmi Parida, Michael Hoptroff, Edward O. Pyzer-Knapp |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/cb1dd98e135247c4b14f7dc863db1e07 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Functional profiling of COVID-19 respiratory tract microbiomes
by: Niina Haiminen, et al.
Published: (2021) -
Human Skin, Oral, and Gut Microbiomes Predict Chronological Age
by: Shi Huang, et al.
Published: (2020) -
Lies, Gosh Darn Lies, and not enough good statistics: why epidemic model parameter estimation fails
by: Daniel E. Platt, et al.
Published: (2021) -
A common methodological phylogenomics framework for intra-patient heteroplasmies to infer SARS-CoV-2 sublineages and tumor clones
by: Filippo Utro, et al.
Published: (2021) -
Relaciones mediadas por el sonido entre jugadores en el entorno de juegos multijugador
by: Grimshaw, Mark
Published: (2010)