Host Trait Prediction from High-Resolution Microbial Features.
Methods Mol Biol
; 2242: 185-202, 2021.
Article
em En
| MEDLINE
| ID: mdl-33961225
ABSTRACT
Predicting host traits from metagenomes presents new challenges that can be difficult to overcome for researchers without a strong background in bioinformatics and/or statistics. Profiling bacterial communities using shotgun metagenomics often leads to the generation of a large amount of data that cannot be used directly for training a model. In this chapter we provide a detailed description of how to build a working machine learning model based on taxonomic and functional features of bacterial communities inhabiting the lungs of cystic fibrosis patients. Models are built in the R environment by using different freely available machine learning algorithms.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Bactérias
/
DNA Bacteriano
/
Genoma Bacteriano
/
Perfilação da Expressão Gênica
/
Metagenoma
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Metagenômica
/
Transcriptoma
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article