Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance test » significance set (Expand Search), significance testing (Expand Search), significance level (Expand Search)
test decrease » teer decrease (Expand Search), cost decreased (Expand Search), mean decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance test » significance set (Expand Search), significance testing (Expand Search), significance level (Expand Search)
test decrease » teer decrease (Expand Search), cost decreased (Expand Search), mean decrease (Expand Search)
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1041
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1042
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1045
Pharmacological induction of mitochondrial dysfunction results in micronuclei and nuclear blebbing.
Published 2025Subjects: -
1046
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1047
Akt3 null animals have reduced Aurora B expression and proliferation and increased apoptosis.
Published 2025Subjects: -
1048
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1049
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1050
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1051
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1052
ROS reduces the expression of Akt3, WDR12 and Aurora B leading to micronuclei.
Published 2025Subjects: -
1053
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1054
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1055
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1056
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1058
Internal structure of an LSTM cell.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”
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1059
Prediction effect of each model after STL.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”
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1060
The kernel density plot for data of each feature.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”