Integrative analysis of relative abundance data and presence-absence data of the microbiome using the LDM.
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac181
Abstract: SUMMARY We previously developed the LDM for testing hypotheses about the microbiome that performs the test at both the community level and the individual taxon level. The LDM can be applied to relative abundance data… read more here.
Keywords: ldm; relative abundance; presence absence; absence data ... See more keywords
Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures of model performance
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Biogeography"
DOI: 10.1111/jbi.13402
Abstract: The discriminating capacity (i.e. ability to correctly classify presences and absences) of species distribution models (SDMs) is commonly evaluated with metrics such as the area under the receiving operating characteristic curve (AUC), the Kappa statistic… read more here.
Keywords: presence; absence data; presence absence; discrimination metrics ... See more keywords
Recommending plant taxa for supporting on-site species identification
Sign Up to like & getrecommendations! Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2201-7
Abstract: BackgroundPredicting a list of plant taxa most likely to be observed at a given geographical location and time is useful for many scenarios in biodiversity informatics. Since efficient plant species identification is impeded mainly by… read more here.
Keywords: plant; species identification; absence data; presence absence ... See more keywords