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To test the interpretability of the feature selection approaches, we computed the Pearson correlation between the features importance scores and observed that the feature scores are significantly correlated (Pearson's r = 0.65; p-value = 8.473e-05) with 95% confidence interval (Figure S3).
To compare and evaluate these approaches, we computed a scaled Root Mean Square Distance (RMSD) between observed and imputed plot-level BA and TD for 11 conifer species sampled in north-central Idaho.
Using each of these approaches, we computed distances between 109 odors that had previously been tested against 24 Ors from Drosophila melanogaster (Hallem and Carlson, 2006).
For the benefit of comparing our LHS method with other frequentist approaches, we computed P-values using the logistic regression (8), in addition to BFs, based on a single inference of the loadings (or a single EM run).
To assess the correspondence among the groupings retrieved under Bayesian and multivariate approaches, we computed the percentage of individuals assigned to STRUCTURE groups that were assigned to the same group using DAPC.
To compare the performance of different approaches, we computed the PPV values by calculating the ARI scores between identified pathways from each approach and the pathways from Reactome, KEGG and BioCyc.
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For the two approaches, we compute values of D and the hydroperiod during spring tides using as boundary condition at the wetland inlet tidal records from a nearby gauging station with a 15-min resolution (Fig. 2d,e,g,h).
Specifically, using these approaches, we compute equilibrium probability distributions at constant temperature as well as velocity autocorrelation functions of the nanocarrier subject to thermal motion in a quiescent Newtonian fluid medium, when tethered by a harmonic spring force mimicking a tether due to a single receptor ligand bond.
In both approaches, we compute the rank of the covariance matrix to confirm the degrees of freedom.
Using the critical value approach, we computed t = −1.495 [(coefficient − 1)/standard error].
Using this approach, we computed and analyzed 20-mer frequencies for the entire Oryza BES dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com