<p>Each point represents one protein and its associated classifier scores. Filled circles highlight proteins that were assigned the same sub-cellular class with each classifier, empty circles represent the instance when the two classifiers gave different results. The solid lines show the classification boundaries for the two classifiers at a 5% FDR, above which proteins are classified to the highlighted class, below these boundaries proteins are deemed low confidence and thus left unassigned.</p
<p>Cell level feature classification confusion matrix. Bold values indicate agreement between the cl...
Figure S1. Proportion of times each feature is selected by the SFFS algorithm on mouse data and CC (...
(A) Protein-specific characterization of the metaprofiles (MPs). Each of the five plots decomposes e...
<p>Proteins are clustered according to their density gradient distributions. Each point on the PCA p...
Roughly 2000 proteins are classified using either SVM and TAGM-MCMC; however, TAGM-MCMC can draw add...
<p><b>(A)</b> SOM obtained using only 11 proteins (out of 77) that discriminate between the four cla...
Mouse_brain_20percFDR_annotated_cluster_sparklines Use this spreadsheet to explore the data. Pro...
Figure S5. Number of false negative averaged across GO terms on the mouse data. First (resp. second)...
<p>The X-axis and Y-axis of each point represent the TM-score of Top1 models selected according to Z...
<p><b>(A)</b> There are eight classes of mice based on genotype (control, c, and trisomy, t), stimul...
<p>(A) Intersection of proteins discriminating learning in control mice. Colors indicate the protein...
<p>(<b>A</b>) The four heatmaps show the predictions resulting from diverse binary classifiers for t...
(a) Contour plot depicting Support vector machines (SVM) analysis results using the LAWmg (x-axis) a...
<p>The classifier's performance was assessed at increasing distance thresholds. As the distance thre...
(A) Hierarchical clustering of 53 cell types from both human and mouse systems based on row-wise nor...
<p>Cell level feature classification confusion matrix. Bold values indicate agreement between the cl...
Figure S1. Proportion of times each feature is selected by the SFFS algorithm on mouse data and CC (...
(A) Protein-specific characterization of the metaprofiles (MPs). Each of the five plots decomposes e...
<p>Proteins are clustered according to their density gradient distributions. Each point on the PCA p...
Roughly 2000 proteins are classified using either SVM and TAGM-MCMC; however, TAGM-MCMC can draw add...
<p><b>(A)</b> SOM obtained using only 11 proteins (out of 77) that discriminate between the four cla...
Mouse_brain_20percFDR_annotated_cluster_sparklines Use this spreadsheet to explore the data. Pro...
Figure S5. Number of false negative averaged across GO terms on the mouse data. First (resp. second)...
<p>The X-axis and Y-axis of each point represent the TM-score of Top1 models selected according to Z...
<p><b>(A)</b> There are eight classes of mice based on genotype (control, c, and trisomy, t), stimul...
<p>(A) Intersection of proteins discriminating learning in control mice. Colors indicate the protein...
<p>(<b>A</b>) The four heatmaps show the predictions resulting from diverse binary classifiers for t...
(a) Contour plot depicting Support vector machines (SVM) analysis results using the LAWmg (x-axis) a...
<p>The classifier's performance was assessed at increasing distance thresholds. As the distance thre...
(A) Hierarchical clustering of 53 cell types from both human and mouse systems based on row-wise nor...
<p>Cell level feature classification confusion matrix. Bold values indicate agreement between the cl...
Figure S1. Proportion of times each feature is selected by the SFFS algorithm on mouse data and CC (...
(A) Protein-specific characterization of the metaprofiles (MPs). Each of the five plots decomposes e...