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Enzymatic Numerical P Systems (ENPS), an extension of Numerical P Systems, have been successfully applied to model robot controllers. GPGPU is an innovative technological paradigm which applies the parallel architecture of graphic cards to solve parallel, general–purpose problems. In previous work, a GPU simulator for ENPS was introduced. In this paper, a(More)
High throughput technologies have been used to profile genes in multiple different dimensions, such as genetic variation, copy number, gene and protein expression, epigenetics, metabolomics. Computational analyses often treat these different data types as independent, leading to an explosion in the number of features making studies under-powered and more(More)
This paper presents a new approach to the production of feature maps for the improvement of classification in machine learning. The idea is based on a calculus of differentiation and integration of feature vectors, which can be viewed as functions on a metric space or network. Based on this we propose a novel network-based binary machine learning(More)
A major problem in identifying the best therapeutic targets for cancer is the molecular heterogeneity of the disease. Cancer is often caused by an accumulation of mutations which produce irreversible damage to the cell’s control mechanisms of survival and proliferation. Different mutations may affect these cellular anachronisms through a combination of(More)
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