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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...
Autores principales: | Huang, Shimeng, Ailer, Elisabeth, Kilbertus, Niki, Pfister, Niklas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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 |
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