Abstract:Canonical distance and dissimilarity measures can fail to capture important relationships in high-throughput sequencing datasets since these measurements are unable to represent feature interactions. By learning a dissimilarity using decision tree ensembles, we can avoid this important pitfall. We used 16S rRNA data from the lumen and mucosa of the distal and proximal human colon and the stool of patients suffering from immune-mediated inflammatory diseases and compared how well the Jaccard and Aitchison metri… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.