EvoKEN: evolutionary knowledge extraction in networks - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2017

EvoKEN: evolutionary knowledge extraction in networks

Résumé

We introduce a multi-factorial, multi-level approach to build and explore evolutionary scenarios of complex protein networks. EvoKEN combines a unique formalism for integrating multiple types of data associated with network molecular components and knowledge extraction techniques for detecting cohesive/anomalous evolutionary processes. We analyzed known human pathway maps and identified perturbations or specializations at the local topology level that reveal important evolutionary and functional aspects of these cellular systems.
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hal-01636898 , version 1 (17-11-2017)

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Benjamin Linard, Ngoc Thanh Nguyen, Odile Lecompte, Olivier Poch, Julie D. Thompson. EvoKEN: evolutionary knowledge extraction in networks. 2017. ⟨hal-01636898⟩
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