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Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine ...

Retrieved on: 2018-01-23 03:59:24

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<div>Both algorithms require a minimal number of variable parameters to be optimized using a training dataset to find good prediction models for testing datasets, and thus, it is easier to understand and interpret the results than some other more powerful ML algorithms, such as <b>artificial</b> neural network ...</div>

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