Application of Nonlinear Models Combined with Conventional Laboratory Indicators for the Diagnosis and Differential Diagnosis of Ovarian Cancer.

Visualization Comparison of Linear and Nonlinear Processing Modes In the spectral map output of systematic clustering, different color blocks were mixed and arranged, indicating that the ovarian cancer group and each control group were scattered on different branches of the spectrum, and the differentiation effect was not satisfactory ( Figure 2 A), whereas in the three-dimensional space based on t-SNE downscaling, there was a clear trend of inter-group separation and intra-group aggregation between the ovarian group and each control subgroup sample.

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