Cross-validation for training and testing co-occurrence network inference algorithms

Microorganisms are found in almost every environment, including soil, water, air and inside other organisms, such as animals and plants. While some microorganisms cause diseases, most of them help in biological processes such as decomposition, fermentation and nutrient cycling. Much research has bee...

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Vydáno v:	BMC bioinformatics Ročník 26; číslo 1; s. 74 - 24
Hlavní autoři:	Agyapong, Daniel, Propster, Jeffrey Ryan, Marks, Jane, Hocking, Toby Dylan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England BioMed Central Ltd 06.03.2025 Springer Nature B.V BioMed Central BMC
Témata:	Algorithms Bacteria Biological activity Co-occurrence network inference Computational Biology - methods Cross-Validation Ecological function Ecology Environmental aspects Evaluation Fermentation Food chains Food webs Inference LASSO Machine learning Microbial activity Microbiome Analysis Microbiomes Microbiota Microorganisms Network analysis Network Validation Next-generation sequencing Nutrient cycles Parameters Pathogens Robustness Sparsity Taxonomy Canada Ecological Networks Co-occurrence network inference Cross-Validation LASSO Machine learning Network Validation Microbiome Analysis High-dimensional Statistics Compositional Data
ISSN:	1471-2105, 1471-2105
On-line přístup:	Získat plný text
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