Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-Class Classification with a Convolutional Neural Network
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DOI: 10.3390/e22090986
Abstract: Robustness and evolvability are essential properties to the evolution of biological networks. To determine if a biological network is robust and/or evolvable, it is required to compare its functions before and after mutations. However, this… read more here.
Keywords: network; robustness evolvability; biological networks; evolvability biological ... See more keywords