Analysis of variance (ANOVA) results from linear models testing for the effect of taxonomic level (<i>e.g</i>., phylum, class, order, OTU) within biological marker groups (<i>e.g</i>. 16S, ITS, or 16S-ITS) on random forest mod

<p>Analysis of variance (ANOVA) results from linear models testing for the effect of taxonomic level (<i>e.g</i>., phylum, class, order, OTU) within biological marker groups (<i>e.g</i>. 16S, ITS, or 16S-ITS) on random forest model mean absolute error (MAE).</p>

Publication Details

Journal
Figshare
Published
2024-10-11
DOI
https://doi.org/10.1371/journal.pone.0311906.s009
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
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article

Analysis of variance (ANOVA) results from linear models testing for the effect of taxonomic level (e.g., phylum, class, order, OTU) within biological marker groups (e.g. 16S, ITS, or 16S-ITS) on random forest mod

Figshare
Species Distribution and Climate Change
article

Analysis of variance (ANOVA) results from linear models testing for the effect of taxonomic level (e.g., phylum, class, order, OTU) within biological marker groups (e.g. 16S, ITS, or 16S-ITS) on random forest mod

article en

Abstract

<p>Analysis of variance (ANOVA) results from linear models testing for the effect of taxonomic level (<i>e.g</i>., phylum, class, order, OTU) within biological marker groups (<i>e.g</i>. 16S, ITS, or 16S-ITS) on random forest model mean absolute error (MAE).</p>

Figshare
Life in Land
Openalex Percentile: Top 91%
Species Distribution and Climate Change
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Analysis of variance (ANOVA) results from linear models testing for the effect of taxonomic level (<i>e.g</i>., phylum, class, order, OTU) within biological marker groups (<i>e.g</i>. 16S, ITS, or 16S-ITS) on random forest mod · Figshare (2024) | TGRS Research Map | TGRS