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Poster communications

PPI DomainMiner: predicting domain-domain interactions from protein-protein interactions using tripartite graph modeling and vector similarity

Seyed Ziaeddin Alborzi 1 Sabeur Aridhi 1, 2 Dave Ritchie 1 Marie-Dominique Devignes 3, 1
1 CAPSID - Computational Algorithms for Protein Structures and Interactions
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
2 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 CNRS - Centre National de la Recherche Scientifique
Document type :
Poster communications
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https://hal.inria.fr/hal-01877112
Contributor : Sabeur Aridhi Connect in order to contact the contributor
Submitted on : Wednesday, September 19, 2018 - 12:17:30 PM
Last modification on : Thursday, April 28, 2022 - 3:11:31 AM

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  • HAL Id : hal-01877112, version 1

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CNRS | INRIA2 | LORIA | LORIA-AIS | INRIA | UNIV-LORRAINE

Citation

Seyed Ziaeddin Alborzi, Sabeur Aridhi, Dave Ritchie, Marie-Dominique Devignes. PPI DomainMiner: predicting domain-domain interactions from protein-protein interactions using tripartite graph modeling and vector similarity. ECCB 2018 - 17th European Conference on Computational Biology, Sep 2018, Athènes, Greece. ⟨hal-01877112⟩

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