Advances in integrative statistics for logic programming |
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Institution: | 1. Cancer Genome Project, Welcome Trust Sanger Institute, Hinxton, CB10 1SA, UK;2. Department of Surgery and Cancer, Division of Cancer, Imperial College, London, W12 0NN, UK;3. Department of Computer Science, University College London, WC1E 6BT, UK |
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Abstract: | We present recent developments on the syntax of Real, a library for interfacing two Prolog systems to the statistical language R. We focus on the changes in Prolog syntax within SWI-Prolog that accommodate greater syntactic integration, enhanced user experience and improved features for web-services. We recount the full syntax and functionality of Real as well as presenting a full application and sister packages which include Prolog code interfacing a number of common and useful tasks that can be delegated to R. We argue that Real is a powerful extension to logic programming, providing access to a popular statistical system that has complementary strengths in areas such as machine learning, statistical inference and visualisation. Furthermore, Real has a central role to play in the uptake of semantic web, computational biology and bioinformatics as application areas for research in logic programming. |
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Keywords: | Logic programming Visualisation Machine learning Graph drawing bioinformatics |
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