Scatterplot of class probability vs the actual ACMG class for the TabNet model across the validation set of 156 variants. by Aastha Vatsyayan (9981916)

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The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

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S4 Table - by Aastha Vatsyayan (9981916)

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Train and validation accuracies of the TabNet model across 187 epochs. by Aastha Vatsyayan (9981916)

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The overview of the workflow followed for model development and variant classification with TabNet and XGBoost models. by Aastha Vatsyayan (9981916)

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S2 Table - by Aastha Vatsyayan (9981916)

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Barplot comparing the accuracy, MCC, NPV and PPV of 13 models with TabNet and XGBoost. by Aastha Vatsyayan (9981916)

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Scatterplot of class probability vs the actual ACMG class for the XGBoost model across the validation set of 156 variants. by Aastha Vatsyayan (9981916)

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Comparison of the performance of both models against 13 other models on the independent test dataset. by Aastha Vatsyayan (9981916)

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Confusion matrix depicting the models’ predictions on the 30% test data. by Aastha Vatsyayan (9981916)

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Confusion matrix of predictions made on the ACMG-qualified independent validation dataset comprising of 156 variants. by Aastha Vatsyayan (9981916)

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Scatterplot of class probability vs the predicted class for the TabNet model across all VUS variants 251 exonic VUS variants that were a part of the validation dataset. by Aastha Vatsyayan (9981916)

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The model learning rate and loss of the TabNet model across187 epochs. by Aastha Vatsyayan (9981916)

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S12 Fig - by Aastha Vatsyayan (9981916)

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Fig 2 - by Aastha Vatsyayan (9981916)

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Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

“…The Pareto optimal front was generated using MOCOA with the indicators of spectral kurtosis and KL divergence, by which the optimal intrinsic mode functions were obtained. …”

ROI setting diagram and ASF calculation result for ASF. by Tsutomu Gomi (7382183)

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Algorithm used for important sampling of the likelihood function. by Zhiyong Huang (3620000)

Screening of the potential small-molecular compounds for the treatment of NAFLD and AIS by cMAP analysis. by Junjie Su (368807)

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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”