Article

Decision Tree Ensembles Utilizing Multivariate Splits Are Effective at Investigating Beta-Diversity in Medically Relevant 16S Amplicon Sequencing Data

2022-04-01

Abstract excerpt

Developing an understanding of how microbial communities vary across conditions is an important analytical step. We used 16S rRNA data isolated from human stool to investigate if learned dissimilarities, such as those produced using unsupervised decision tree ensembles, can be used to improve the analysis of the composition of bacterial communities in patients suffering from Crohn’s Disease and adenomas/colorectal...

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Literature Corpus work: 5c3e837b-c022-53c0-b377-7f9732052c37
DOI: 10.1101/2022.03.31.486647

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