KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model

Abstract Background Identification of microbes with large impacts on their microbial communities, known as keystone microbes, is a topic of long-standing interest in microbiome research. However, many approaches to identify keystone microbes are limited by the inherent nonlinearity and state-depende...

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Үндсэн зохиолчид:	Max Gordon, Turgut Yigit Akyol, B. Amos, Stig U. Andersen, Cranos Williams
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2026-02-01
Цуврал:	BioData Mining
Нөхцлүүд:	Microbiome modeling Keystone microbes Systems identification Sparse dictionary learning
Онлайн хандалт:	https://doi.org/10.1186/s13040-026-00527-3
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