The imputation performance of CancerSD on STAD dataset with missingness occuring in methylation data.

<p><b>(a)</b> Mean Absolute Error (MAE) between original and imputed methylation data in the testing set at different missing rates, and corresponding Root Mean Square Error (RMSE) at each rate.<b>(b)</b> Similarity between original and imputed methylation data under va...

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Bibliographic Details
Main Author: Yongqi Bu (20477564) (author)
Other Authors: Jiaxuan Liang (12633000) (author), Zhen Li (49109) (author), Jianbo Wang (184708) (author), Jun Wang (5906) (author), Guoxian Yu (3422159) (author)
Published: 2024
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Summary:<p><b>(a)</b> Mean Absolute Error (MAE) between original and imputed methylation data in the testing set at different missing rates, and corresponding Root Mean Square Error (RMSE) at each rate.<b>(b)</b> Similarity between original and imputed methylation data under various missing rates across different subtypes.<b>(c)</b> Sample clustering using the original methylation data.<b>(d)</b> Sample clustering using the imputed methylation data under different missing rates.</p> <p>(TIF)</p>