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IN BIOINFORMATICS
The machine learning field continues to develop new applications for predicting outcomes and explaining phenomena in the domain of biology and medicine, but NNs offer limited help in explaining the features and their values for the models they produce.
Abstract
The machine learning field continues to develop new applications for predicting outcomes and explaining phenomena in the domain of biology and medicine. Deep learning and neural networks (NNs) have had success in different subfields for their adaptability to different kinds of inputs and deployment on available hardware. However, NNs offer limited help in explaining the features and their values for the models they produce. In order to address this problem other kinds of machine learning methods are available, such as rule-based models