The red highlighting boxes show the disentangled features achieved by a model. A) Vanilla VAE could not disentangle any feature. B) β-VAE disentangled metastasis and SBS40.</p
The heat map shows the patterns, similarities, associations, correlations and expression of pre-miRN...
<p>Heatmap showing the Jensen–Shannon (JS) divergence between challenge groups estimated from FPKM v...
<p>Heatmap of infected patients: below the diagonal are the correlations in acute phase samples, whi...
The red highlighting boxes show the disentangled features achieved by a model. A) Vanilla VAE could ...
A) Using 10 dimensional latent space, β-VAE can learn a more disentangled representation compared to...
Number of disentangled data features for different VAE models having different latent dimensions.</p
Spearman correlation coefficients were computed for 83 radiomics features. Green, white, and red den...
Feature pairs with Spearman correlation coefficients less than 0.95. Spearman correlation coefficien...
This study presents a comparison of different VariationalAutoencoder(VAE) models to see which VAE mo...
A) Correlation between the different versions of the de-novo ER gene-module scores computed from the...
<p>Heatmaps of all pairwise correlations between the 17 variables (plus two noise samples) for patie...
<p>A reduced set of compounds was analyzed in (<b>B</b>) since not every compound was run at every c...
<p>Heat maps of the expression levels in the cervical cancer dataset (a) before and (b) after voom t...
This case was classified as class M by pathologic diagnosis and class N by AI prediction, and was on...
A listing of the hyperparameters that were held constant throughout the study. The values were set a...
The heat map shows the patterns, similarities, associations, correlations and expression of pre-miRN...
<p>Heatmap showing the Jensen–Shannon (JS) divergence between challenge groups estimated from FPKM v...
<p>Heatmap of infected patients: below the diagonal are the correlations in acute phase samples, whi...
The red highlighting boxes show the disentangled features achieved by a model. A) Vanilla VAE could ...
A) Using 10 dimensional latent space, β-VAE can learn a more disentangled representation compared to...
Number of disentangled data features for different VAE models having different latent dimensions.</p
Spearman correlation coefficients were computed for 83 radiomics features. Green, white, and red den...
Feature pairs with Spearman correlation coefficients less than 0.95. Spearman correlation coefficien...
This study presents a comparison of different VariationalAutoencoder(VAE) models to see which VAE mo...
A) Correlation between the different versions of the de-novo ER gene-module scores computed from the...
<p>Heatmaps of all pairwise correlations between the 17 variables (plus two noise samples) for patie...
<p>A reduced set of compounds was analyzed in (<b>B</b>) since not every compound was run at every c...
<p>Heat maps of the expression levels in the cervical cancer dataset (a) before and (b) after voom t...
This case was classified as class M by pathologic diagnosis and class N by AI prediction, and was on...
A listing of the hyperparameters that were held constant throughout the study. The values were set a...
The heat map shows the patterns, similarities, associations, correlations and expression of pre-miRN...
<p>Heatmap showing the Jensen–Shannon (JS) divergence between challenge groups estimated from FPKM v...
<p>Heatmap of infected patients: below the diagonal are the correlations in acute phase samples, whi...