Compositional transformations can reasonably introduce phenotype-associated values into sparse features

Austin, G. I., & Korem, T. (2025). Compositional transformations can reasonably introduce phenotype-associated values into sparse features. MSystems, 10(5). https://doi.org/10.1128/msystems.00021-25
Authors:
George I Austin
Tal Korem
Affiliated Authors:
George I Austin
Tal Korem
Columbia Affiliation:
Subjects:
Geochemistry and Geologic Mapping (OpenAlex Topic)
Hydrocarbon exploration and reservoir analysis (OpenAlex Topic)
Periodontal Diseases and Oral Microbiome (OpenAlex Topic)
Microbiota (MeSH)
Author Keywords:
microbiome
compositional data analysis
machine learning
imputation
elink
Publication Type:
Article
Unique ID:
10.1128/msystems.00021-25
PMID:
40314439
DOI:
10.1128/msystems.00021-25
Journal:
MSystems
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: