<p>Normalization methods impact the number of significant genus-level associations between cases and controls across multiple diseases.</p
<p>The pairwise variation (Vn/Vn+1) was analyzed between normalization factors NFn and NFn+1 to dete...
Normalization is a fundamental step in data processingto account for the sample-to-sample variation ...
© The Author 2014. Motivation: Identifying disease associated taxa and constructing networks for bac...
<p>The different normalization methods applied in this study, and whether or not they account for le...
<p>Increasing the number of causal variants generally increases the probability of creating syntheti...
<p>The relationship between the number of species in a genus (plotted on a log2 scale) and the incid...
Figure S2. Scatterplot of normalization factors for each pair of scaling methods. Normalization fact...
it is likely that many complex diseases result from interactions among several genes, as well as env...
<p>Pairwise variation (V<sub>n/n+1</sub>) analysis between the normalization factors NF<sub>n</sub> ...
Results of multilevel models and general linear models with the different Phyla as dependent variabl...
<p>Graphs show calculated pairwise variation, <i>V</i><sub><i>n/(n+1)</i></sub>, between normalisati...
<p>Each method is evaluated by the number of genes observed to be consistently expressed across samp...
<p>Disease associations are often conceptualized in two dimensions: allele frequency and effect size...
<p>Proportion of causal variants reaching significance as a function of the average effect and propo...
Figure S3. Mean Spearman correlation between raw and normalized counts. Spearman correlations were c...
<p>The pairwise variation (Vn/Vn+1) was analyzed between normalization factors NFn and NFn+1 to dete...
Normalization is a fundamental step in data processingto account for the sample-to-sample variation ...
© The Author 2014. Motivation: Identifying disease associated taxa and constructing networks for bac...
<p>The different normalization methods applied in this study, and whether or not they account for le...
<p>Increasing the number of causal variants generally increases the probability of creating syntheti...
<p>The relationship between the number of species in a genus (plotted on a log2 scale) and the incid...
Figure S2. Scatterplot of normalization factors for each pair of scaling methods. Normalization fact...
it is likely that many complex diseases result from interactions among several genes, as well as env...
<p>Pairwise variation (V<sub>n/n+1</sub>) analysis between the normalization factors NF<sub>n</sub> ...
Results of multilevel models and general linear models with the different Phyla as dependent variabl...
<p>Graphs show calculated pairwise variation, <i>V</i><sub><i>n/(n+1)</i></sub>, between normalisati...
<p>Each method is evaluated by the number of genes observed to be consistently expressed across samp...
<p>Disease associations are often conceptualized in two dimensions: allele frequency and effect size...
<p>Proportion of causal variants reaching significance as a function of the average effect and propo...
Figure S3. Mean Spearman correlation between raw and normalized counts. Spearman correlations were c...
<p>The pairwise variation (Vn/Vn+1) was analyzed between normalization factors NFn and NFn+1 to dete...
Normalization is a fundamental step in data processingto account for the sample-to-sample variation ...
© The Author 2014. Motivation: Identifying disease associated taxa and constructing networks for bac...
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