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Conference Papers Year : 2012

Towards a logic-based method to infer provenance-aware molecular networks

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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.
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Dates and versions

hal-00748041 , version 1 (12-11-2012)

Identifiers

  • HAL Id : hal-00748041 , version 1

Cite

Zahira Aslaoui-Errafi, Sarah Cohen-Boulakia, Christine Froidevaux, Pauline Gloaguen, Anne Poupon, et al.. Towards a logic-based method to infer provenance-aware molecular networks. Proc. of the 1st ECML/PKDD International workshop on Learning and Discovery in Symbolic Systems Biology (LDSSB), Sep 2012, Bristol, United Kingdom. pp.103-110. ⟨hal-00748041⟩
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