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Learning a deep language model for microbiomes: the power of large scale unlabeled microbiome data

2023-07-17

Abstract excerpt

We use open source human gut microbiome data to learn a microbial “language” model by adapting techniques from Natural Language Processing (NLP). Our microbial “language” model is trained in a self-supervised fashion (i.e., without additional external labels) to capture the interactions among different microbial taxa and the common compositional patterns in microbial communities. The learned model produces context...

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Literature Corpus work
18b25062-1d15-5d66-bd33-b7301a7995af
DOI
10.1101/2023.07.17.549267
Open publication

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Learning a deep language model for microbiomes: the power of large scale unlabeled microbiome dataDOI 10.1101/2023.07.17.549267
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