CA-CAE: A deep learning-based multi-omics model for pan-cancer subtype classification and prognosis prediction
Fig 3
Ablation study of CA-CAE components on LUAD.
Kaplan–Meier survival curves of LUAD patients illustrating the impact of different modules on model performance:(A) The full CA-CAE model achieved the highest discriminative power. (B) Removing the channel attention mechanism (CA-CAE_noAtt) led to decreased stratification performance. (C) Excluding the Cox-based prognostic filtering (CA-CAE_noCox) further reduced discrimination.