can be any non-linear differentiable function like sigmoid, tanh, ReLU, etc. (commonly used in the deep learning community). Learning in neural networks is nothing but finding the optimum weight ...

The paper is titled "Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of a diverse feature set." The remaining authors, all with Icahn Mount Sinai ...