<p>Same panels and axes as in Figs. 5 and 6, but Relief-F with optimized k nearest neighbors is compared with Random Jungle, Random Forest (R implementation), and tuned Random Forest with optimized mtry. Average ranks of the 96 main effect genes simulated in each data set together with null genes for a total of 16,920 genes. The 96 genes are split into four panels based on fold change (FC). The horizontal axis of each plot is labeled by the combination of negative binomial parameters (θ:µ) of the main effect gene. Each point is the average rank across n = 1000 replicate simulations.</p
Random Forest is a prediction technique based on growing trees on bootstrap samples of data, in conj...
A) Time to reach new trait optimum B) Rate of change in phenotype C) Genetic variance after 0.1 × Na...
<p>(A), (C) and (E) Simulated dataset mimicking the microbial experiment of Langenheder et al. [<a h...
<p>Average ranks of 96 main effects of different size for ReliefSeq with gene-wise adaptive k compar...
<p>Average ranks of the 96 main effect genes simulated in each data set with a total of 16,920 genes...
<p>Comparison of optimized-k Relief-F, standard Relief-F using k = 10 nearest neighbors, edgeR, and ...
<p>First, a subject Ri (green x in the figure) is selected and its nearest k hits and misses are fou...
A. Gene expression levels for the top 100 most important genes used in B. B. Top 30 most important K...
This is the synthetic gene expression data along with the underlying gene network used in the simula...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
A. Principal Component Analysis (PCA) plots from all profiles based on a set of 1338 genes that were...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>Results for rare variants are shown in red; for the top hit among common variants, results are sh...
Large genomic studies are becoming increasingly common with advances in sequencing technology, and o...
Relative parameter importance inferred for four parameter categories. 1) Adaptation: parameters desc...
Random Forest is a prediction technique based on growing trees on bootstrap samples of data, in conj...
A) Time to reach new trait optimum B) Rate of change in phenotype C) Genetic variance after 0.1 × Na...
<p>(A), (C) and (E) Simulated dataset mimicking the microbial experiment of Langenheder et al. [<a h...
<p>Average ranks of 96 main effects of different size for ReliefSeq with gene-wise adaptive k compar...
<p>Average ranks of the 96 main effect genes simulated in each data set with a total of 16,920 genes...
<p>Comparison of optimized-k Relief-F, standard Relief-F using k = 10 nearest neighbors, edgeR, and ...
<p>First, a subject Ri (green x in the figure) is selected and its nearest k hits and misses are fou...
A. Gene expression levels for the top 100 most important genes used in B. B. Top 30 most important K...
This is the synthetic gene expression data along with the underlying gene network used in the simula...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
A. Principal Component Analysis (PCA) plots from all profiles based on a set of 1338 genes that were...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>Results for rare variants are shown in red; for the top hit among common variants, results are sh...
Large genomic studies are becoming increasingly common with advances in sequencing technology, and o...
Relative parameter importance inferred for four parameter categories. 1) Adaptation: parameters desc...
Random Forest is a prediction technique based on growing trees on bootstrap samples of data, in conj...
A) Time to reach new trait optimum B) Rate of change in phenotype C) Genetic variance after 0.1 × Na...
<p>(A), (C) and (E) Simulated dataset mimicking the microbial experiment of Langenheder et al. [<a h...