<p>Random forest analysis (RFA) was utilized to determine which variables (biochemicals) had the largest contribution on classification. “Mean Decrease Accuracy” (MDA) was used as a measure of “variable importance”.</p
Powerful algorithms are required to deal with the dimensionality of metabolomics data. Although many...
Powerful algorithms are required to deal with the dimensionality of metabolomics data. Although many...
<p>A Average classification performance (accuracy) of three distinct classifiers (rf = Random Forest...
<p>The mean decrease in accuracy from the random forest analysis was used to rank metabolites accord...
<p>Metabolites are rank-ordered by their mean decrease accuracy score. A higher mean decrease accura...
<p>Selection of metabolites for joint analysis based on their ranking in top 30 metabolites in corre...
Smaller MDAs tend to be better discriminatory markers than the higher values.</p
<p>The importance for each metabolite ratio in classifying samples into ‘good’ or ‘bad’ pre-storage ...
<p>Mean Decrease in Accuracy (MDA) are shown for biomarkers in (A) without Ang-2/Ang-1 and (B) with ...
<p>The top 30 plasma metabolites important for increasing class separation as determined by the Rand...
<p>Random forest analysis of the thirty most important metabolites distinguishing patients with seve...
<p>A) Class distribution of the different identified metabolites. n = number of metabolites in eac...
<p>A) Class distribution of the different identified metabolites. n = number of metabolites in eac...
Top 15 metabolites with the highest discriminatory power between both diet groups are listed. Red fi...
<p>The significantly changed hepatic metabolites in at least one of 12 conditions subdivided in biol...
Powerful algorithms are required to deal with the dimensionality of metabolomics data. Although many...
Powerful algorithms are required to deal with the dimensionality of metabolomics data. Although many...
<p>A Average classification performance (accuracy) of three distinct classifiers (rf = Random Forest...
<p>The mean decrease in accuracy from the random forest analysis was used to rank metabolites accord...
<p>Metabolites are rank-ordered by their mean decrease accuracy score. A higher mean decrease accura...
<p>Selection of metabolites for joint analysis based on their ranking in top 30 metabolites in corre...
Smaller MDAs tend to be better discriminatory markers than the higher values.</p
<p>The importance for each metabolite ratio in classifying samples into ‘good’ or ‘bad’ pre-storage ...
<p>Mean Decrease in Accuracy (MDA) are shown for biomarkers in (A) without Ang-2/Ang-1 and (B) with ...
<p>The top 30 plasma metabolites important for increasing class separation as determined by the Rand...
<p>Random forest analysis of the thirty most important metabolites distinguishing patients with seve...
<p>A) Class distribution of the different identified metabolites. n = number of metabolites in eac...
<p>A) Class distribution of the different identified metabolites. n = number of metabolites in eac...
Top 15 metabolites with the highest discriminatory power between both diet groups are listed. Red fi...
<p>The significantly changed hepatic metabolites in at least one of 12 conditions subdivided in biol...
Powerful algorithms are required to deal with the dimensionality of metabolomics data. Although many...
Powerful algorithms are required to deal with the dimensionality of metabolomics data. Although many...
<p>A Average classification performance (accuracy) of three distinct classifiers (rf = Random Forest...
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