Abstract: This study presents an integrated framework combining 1D-CNN-LSTM-Autoencoder-based anomaly detection with identity authentication using machine learning classifiers. The 1D-CNN-LSTM ...
Abstract: Cancer is an aggressive and complex disease, and its heterogeneity makes it challenging to target specific therapies for different tumor types. Predicting cancer subtypes using only ...
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