Jose L. Segovia-Juarez

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The use of different mathematical tools to study biological processes is necessary to capture effects occurring at different scales. Here we study as an example the immune response to infection with the bacteria Mycobacterium tuberculosis, the causative agent of tuberculosis (TB). Immune responses are both global (lymph nodes, blood, and spleen) as well as(More)
Identifying DNA splice sites is a main task of gene hunting. We introduce the hyper-network architecture as a novel method for finding DNA splice sites. The hypernetwork architecture is a biologically inspired information processing system composed of networks of molecules forming cells, and a number of cells forming a tissue or organism. Its learning is(More)
The hypernetwork architecture is a biologically inspired learning model based on abstract molecules and molecular interactions that exhibits functional and organizational correlation with biological systems. Hypernetwork organisms were trained, by molecular evolution, to solve N-input parity tasks. We found that learning improves when molecules exhibit(More)
The hypernetwork is a molecular interaction-based model that has learning capabilities. The adaptive algorithm randomly changes the molecular structures and selects the best individual. Experiments with the hypernet-work show the importance for evolution of the mutation buffering capabilities of the system. Mutation buffering allows the system to improve(More)
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