Scalable Log-ratio Lasso Regression Enhances Microbiome Feature Selection for Predictive Models

Identifying predictive biomarkers of patient outcomes from high-throughput microbiome data is of high interest in contemporary cancer research. We present FLORAL, an open-source computational tool to perform scalable log-ratio lasso regression modeling and microbial feature selection for continuous,...

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Detalles Bibliográficos
Autores principales: Fei, Teng, Funnell, Tyler, Waters, Nicholas R., Raj, Sandeep S., Devlin, Sean M., Dai, Anqi, Miltiadous, Oriana, Shouval, Roni, Meng, Lv, Peled, Jonathan U., Ponce, Doris M., Perales, Miguel-Angel, Gönen, Mithat, van den Brink, Marcel R. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187229/
https://www.ncbi.nlm.nih.gov/pubmed/37205350
http://dx.doi.org/10.1101/2023.05.02.538599

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187229/
https://www.ncbi.nlm.nih.gov/pubmed/37205350
http://dx.doi.org/10.1101/2023.05.02.538599

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