Structural diagram of the overall SCF-YOLO algorithm. حسب Yazhou Li (277980)

Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

F4 function and convergence curve graph. حسب Jiangli Yu (4601986)

F5 function and convergence curve graph. حسب Jiangli Yu (4601986)

F1 function and convergence curve graph. حسب Jiangli Yu (4601986)

F6 function and convergence curve graph. حسب Jiangli Yu (4601986)

F7 function and convergence curve graph. حسب Jiangli Yu (4601986)

F10 function and convergence curve graph. حسب Jiangli Yu (4601986)

F9 function and convergence curve graph. حسب Jiangli Yu (4601986)

F2 function and convergence curve graph. حسب Jiangli Yu (4601986)

F8 function and convergence curve graph. حسب Jiangli Yu (4601986)

F3 function and convergence curve graph. حسب Jiangli Yu (4601986)

Time response of the en-CSA based condenser with respect to different algorithms of CSA, RUN, PDO and RIME. حسب Sarah A. Alzakari (19704611)

Knowledge graph model rating function. حسب Chunjuan Li (7890182)

Data Sheet 1_Modelling the spatial bound of an eDNA signal in the marine environment – the effect of local conditions.pdf حسب Tiago A. M. Silva (22188730)