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Recent developments in regularized Canonical Correlation Analysis (CCA) promise powerful methods for high-dimensional, multiview data analysis. However, justifying the structural assumptions behind many popular approaches remains a challenge, and fea
Externí odkaz:
http://arxiv.org/abs/2403.02979
Autor:
Li, Chenhao, Stražar, Martin, Mohamed, Ahmed M.T., Pacheco, Julian A., Walker, Rebecca L., Lebar, Tina, Zhao, Shijie, Lockart, Julia, Dame, Andrea, Thurimella, Kumar, Jeanfavre, Sarah, Brown, Eric M., Ang, Qi Yan, Berdy, Brittany, Sergio, Dallis, Invernizzi, Rachele, Tinoco, Antonio, Pishchany, Gleb, Vasan, Ramachandran S., Balskus, Emily, Huttenhower, Curtis, Vlamakis, Hera, Clish, Clary, Shaw, Stanley Y., Plichta, Damian R., Xavier, Ramnik J.
Publikováno v:
In Cell 11 April 2024 187(8):1834-1852
Akademický článek
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Publikováno v:
Molecular Ecology Resources; Jan2023, Vol. 23 Issue 1, p312-325, 14p
Publikováno v:
Molecular ecology resourcesREFERENCES. 23(1)
Funder: National Science Foundation; Id: http://dx.doi.org/10.13039/501100008982
Microbiome studies are often limited by a lack of statistical power due to small sample sizes and a large number of features. This problem is exacerbated in correla
Microbiome studies are often limited by a lack of statistical power due to small sample sizes and a large number of features. This problem is exacerbated in correla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e6d47bdf354bf429fae08452d36fb51
https://pubmed.ncbi.nlm.nih.gov/36001047
https://pubmed.ncbi.nlm.nih.gov/36001047