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EvoKEN: evolutionary knowledge extraction in networks

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01636898
Contributor : Benjamin Linard Connect in order to contact the contributor
Submitted on : Friday, November 17, 2017 - 10:29:40 AM
Last modification on : Friday, December 3, 2021 - 9:00:06 AM
Long-term archiving on: : Sunday, February 18, 2018 - 1:26:16 PM

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

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