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Towards a logic-based method to infer provenance-aware molecular networks
Abstract : Providing techniques to automatically infer molecular networks is particularly important to understand complex relationships between biological objects. We present a logic-based method to infer such networks and show how it allows inferring signalling networks from the design of a knowledge base. Provenance of inferred data has been carefully collected, allowing quality evaluation. More precisely, our method (i) takes into account various kinds of biological experiments and their origin; (ii) mimics the scientist's reasoning within a first-order logic setting; (iii) specifies precisely the kind of interaction between the molecules; (iv) provides the user with the provenance of each interaction; (v) automatically builds and draws the inferred network.
Cited literature [23 references]
https://hal.inria.fr/hal-00748041
Contributor : Sarah Cohen-Boulakia <>
Submitted on : Monday, November 12, 2012 - 11:38:52 AM
Last modification on : Tuesday, April 21, 2020 - 1:10:51 AM
Document(s) archivé(s) le : Wednesday, February 13, 2013 - 2:45:09 AM
Contributor : Sarah Cohen-Boulakia <>
Submitted on : Monday, November 12, 2012 - 11:38:52 AM
Last modification on : Tuesday, April 21, 2020 - 1:10:51 AM
Document(s) archivé(s) le : Wednesday, February 13, 2013 - 2:45:09 AM
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SignPathways_final.pdf
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