An improved cancer diagnosis algorithm for protein mass spectrometry based on PCA and a one-dimensional neural network combining ResNet and SENet
An improved cancer diagnosis algorithm for protein mass spectrometry based on PCA and 1D neural network combining ResNet and SENet is proposed and successfully applied to the diagnosis of ovarian cancer with high accuracy and strong fitting ability.
Journal
The AnalystInstitutions
Authors
Funding
National Natural Science Foundation of China Grant U20A20121National Basic Research Program of China Grant 2023YFC3304203Natural Science Foundation of Zhejiang Province Grant LY22F010004Natural Science Foundation of Zhejiang Province Grant LGC22B050002Ningbo Municipal Bureau of Science and Technology Grant 2022Z241Ningbo Municipal Bureau of Science and Technology Grant 2023Z132Ningbo Municipal Bureau of Science and Technology Grant 2023Z168Ningbo Municipal Bureau of Science and Technology Grant 2023S151