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Supervised learning and model analysis with compositional data

Supervised learning, such as regression and classification, is an essential tool for analyzing modern high-throughput sequencing data, for example in microbiome research. However, due to the compositionality and sparsity, existing techniques are often inadequate. Either they rely on extensions of th...

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Detalles Bibliográficos
Autores principales: Huang, Shimeng, Ailer, Elisabeth, Kilbertus, Niki, Pfister, Niklas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10343141/
https://www.ncbi.nlm.nih.gov/pubmed/37390111
http://dx.doi.org/10.1371/journal.pcbi.1011240