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Average random forest Cohen's κ and network metrics from th..:

Albane Ruaud (14259687) ; Niklas Pfister (5522843) ; Ruth E. Ley (9233814).
https://figshare.com/articles/dataset/Average_random_forest_Cohen_s_i_i_and_network_metrics_from_the_artificial_phenotypes_/21727617. , 2022

Link: https://doi.org/10.1371/journal.pcbi.1010714.s032

RT Journal
T1 <Title>Average random forest Cohen's κ and network metrics from the artificial phenotypes</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21727617&Exemplar=1&LAN=DE
				
A1 Albane Ruaud (14259687)
A1 Niklas Pfister (5522843)
A1 Ruth E. Ley (9233814)
A1 Nicholas D. Youngblut (4732542)
YR 2022
K1 Genetics
K1 Ecology
K1 Cancer
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 yield limited insights
K1 previously reported association
K1 predicting phenotypes based
K1 microbial taxa may
K1 human gut methanogens
K1 global metagenome dataset
K1 bootstrapping help reduce
K1 real metagenomic data
K1 gut microbiome differences
K1 div >< p
K1 based microbiome data
K1 method accurately captures
K1 enhancing model interpretation
K1 complex syntrophic network
K1 endor </ p
K1 microbiome data
K1 microbiome science
K1 microbiome components
K1 methanobacteriaceae </
K1 christensenellales </
K1 utilized endor
K1 using endor
K1 found endor
K1 endor simplifies
K1 endor network
K1 developed endor
K1 assessed endor
K1 sparse structure
K1 resultant visualizations
K1 producing bacteria
K1 predictive performance
K1 often good
K1 novel hypotheses
K1 interpretable network
K1 increasingly used
K1 healthy individuals
K1 fitted model
K1 fermenting bacteria
K1 extracts information
K1 explore associations
K1 essential parts
K1 decision ensemble
K1 comparable accuracy
K1 common approaches
JF https://figshare.com/articles/dataset/Average_random_forest_Cohen_s_i_i_and_network_metrics_from_the_artificial_phenotypes_/21727617
LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1010714.s032
DO https://doi.org/10.1371/journal.pcbi.1010714.s032
SF ELIB - SuUB Bremen

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