EvoKEN: evolutionary knowledge extraction in networks

Linard, B.; Nguyen, N.-h.; Lecompte, O.; Poch, O.; Thompson, J.

doi:10.1101/098285

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bioRxiv · 10.1101/098285

EvoKEN: evolutionary knowledge extraction in networks

Linard, B.·Nguyen, N.-h.·Lecompte, O.·Poch, O.·Thompson, J.

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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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Linard, B., Nguyen, N.-h., Lecompte, O., Poch, O., Thompson, J.. 2017-01-05. EvoKEN: evolutionary knowledge extraction in networks. https://doi.org/10.1101/098285

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