Points represent genes, and they are colored according to the comparison of the performance of the two approaches (orange: MSEs very small, blue: MSEs comparable, green: MSE smaller for Bayes approach, black: MSE smaller for direct approach). The underlying parameter values are colored in the same way.</p
(A) Histogram of CPs for direct estimation, the vertical red line indicates the confidence level 0.9...
<p>The upper panel shows a typical simulated dataset under each of three scenarios (see text), but w...
Comparison of the single component regression model and mixture regression model for the CCLE datase...
The resulting values of the MSE are colored according to the comparative performance of the two appr...
The resulting values of the MSE are colored according to the comparative performance of the two appr...
Effect of the three Bayes approaches on the MSE of individual genes, in comparison to the direct est...
In comparison to Fig 3, here only genes with true underlying value of parameter smaller than 6.91 a...
Green, blue, and red colors represent the steady-state-based, the conventional LMSE, and dual optimi...
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
To gain biological insights, investigators sometimes compare sequences of gene expression measuremen...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...
<p>The value for the method with the best fit is indicated in bold face.</p><p>MSE for the different...
<p>Each dot shows the MARE values for one simulated dataset, grouped by parameter values (colour sca...
(a) MISE comparison for three rate functions (chirp, sine, and sawtooth) from IG model. (b) MISE com...
<p>The value for the method with the best fit is indicated in bold face.</p><p>MSE for the different...
(A) Histogram of CPs for direct estimation, the vertical red line indicates the confidence level 0.9...
<p>The upper panel shows a typical simulated dataset under each of three scenarios (see text), but w...
Comparison of the single component regression model and mixture regression model for the CCLE datase...
The resulting values of the MSE are colored according to the comparative performance of the two appr...
The resulting values of the MSE are colored according to the comparative performance of the two appr...
Effect of the three Bayes approaches on the MSE of individual genes, in comparison to the direct est...
In comparison to Fig 3, here only genes with true underlying value of parameter smaller than 6.91 a...
Green, blue, and red colors represent the steady-state-based, the conventional LMSE, and dual optimi...
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
To gain biological insights, investigators sometimes compare sequences of gene expression measuremen...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...
<p>The value for the method with the best fit is indicated in bold face.</p><p>MSE for the different...
<p>Each dot shows the MARE values for one simulated dataset, grouped by parameter values (colour sca...
(a) MISE comparison for three rate functions (chirp, sine, and sawtooth) from IG model. (b) MISE com...
<p>The value for the method with the best fit is indicated in bold face.</p><p>MSE for the different...
(A) Histogram of CPs for direct estimation, the vertical red line indicates the confidence level 0.9...
<p>The upper panel shows a typical simulated dataset under each of three scenarios (see text), but w...
Comparison of the single component regression model and mixture regression model for the CCLE datase...