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Article

MCSPACE: inferring microbiome spatiotemporal dynamics from high-throughput co-localization data

2024-12-07

Abstract excerpt

<h4>Summary</h4> Recent advances in high-throughput approaches for estimating co-localization of microbes, such as SAMPL-seq, allow characterization of the biogeography of the gut microbiome longitudinally and at unprecedented scale. However, these high-dimensional data are complex and have unique noise properties. To address these challenges, we developed MCSPACE, a probabilistic AI method that infers from micro...

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Literature Corpus work
bc6a3526-ec65-5aed-9e8d-df05ef8cee6a
DOI
10.1101/2024.12.06.627244
Open publication

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MCSPACE: inferring microbiome spatiotemporal dynamics from high-throughput co-localization dataDOI 10.1101/2024.12.06.627244
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