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doi: 10.3390/microorganisms9122473

doi: 10.1016/j.ajpath.2019.09.011

Understanding protocol optimization helps you extract maximum value from each purchase

Feature fusion and selection The two feature groups were concatenated to form a fused representation (Equation 7): Before model training, invalid values were handled by the implementation defaults, and constant features were removed by variance filtering (Equation 8): The filtered matrix was then standardized as Equation 9:where and were computed from the training set
