<p>Each panel shows the results from datasets simulated under different parameter settings for (rows) and (columns). Each precision-recall curve was obtained as an average over results from 50 simulated datasets. Simulated datasets with 30 gene-expression traits and 500 SNPs were used.</p
Figure S6. Degree distributions of the learned networks (from Pcorr, BN, GENIE3, SCODE and PIDC), re...
<div><p>Integrating genetic perturbations with gene expression data not only improves accuracy of re...
<p>Gaussian graphical models represent the underlying graph structure of conditional dependence betw...
<p>(A) Precision-recall curves for the recovery of gene network structure in (or ). (B) Precision-r...
<p>(A) Precision-recall curves for the recovery of gene network structure in (or ). (B) Precision-r...
<p>Precision-recall curves for the recovery of eQTLs are shown, using the same simulated datasets an...
<p>A known sparse CGGM was used to generate the simulated dataset. The left, middle, and right colum...
Precision/recall curves in red are associated with the gap method, and the point marked with a circl...
Here, quantitative traits are simulated to have broad-sense heritability of H2 = 0.2 with only contr...
Here, quantitative traits are simulated to have broad-sense heritability of H2 = 0.2 with only contr...
<p>100 data sets of 1000 genes monitored on 13 time samples were simulated. Each data set, like the ...
<p>Precision-recall (right) and ROC (left) are shown for all gene sets (27 for human and 18 for fly)...
A fundamental fact in biology states that genes do not operate in isolation, and yet, methods that i...
This dataset includes simulated datasets generated with the gene expression simulator GeneNetWeaver....
<p>A solid line represents the performances of the proposed method. Dotted and dashed lines represen...
Figure S6. Degree distributions of the learned networks (from Pcorr, BN, GENIE3, SCODE and PIDC), re...
<div><p>Integrating genetic perturbations with gene expression data not only improves accuracy of re...
<p>Gaussian graphical models represent the underlying graph structure of conditional dependence betw...
<p>(A) Precision-recall curves for the recovery of gene network structure in (or ). (B) Precision-r...
<p>(A) Precision-recall curves for the recovery of gene network structure in (or ). (B) Precision-r...
<p>Precision-recall curves for the recovery of eQTLs are shown, using the same simulated datasets an...
<p>A known sparse CGGM was used to generate the simulated dataset. The left, middle, and right colum...
Precision/recall curves in red are associated with the gap method, and the point marked with a circl...
Here, quantitative traits are simulated to have broad-sense heritability of H2 = 0.2 with only contr...
Here, quantitative traits are simulated to have broad-sense heritability of H2 = 0.2 with only contr...
<p>100 data sets of 1000 genes monitored on 13 time samples were simulated. Each data set, like the ...
<p>Precision-recall (right) and ROC (left) are shown for all gene sets (27 for human and 18 for fly)...
A fundamental fact in biology states that genes do not operate in isolation, and yet, methods that i...
This dataset includes simulated datasets generated with the gene expression simulator GeneNetWeaver....
<p>A solid line represents the performances of the proposed method. Dotted and dashed lines represen...
Figure S6. Degree distributions of the learned networks (from Pcorr, BN, GENIE3, SCODE and PIDC), re...
<div><p>Integrating genetic perturbations with gene expression data not only improves accuracy of re...
<p>Gaussian graphical models represent the underlying graph structure of conditional dependence betw...
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