Efficient Analysis of Multi-level Biological Systems Using Abstraction (poster)

Matthieu Pichené 1 Sucheendra Palaniappan 1 Eric Fabre 1 Gregory Batt 2 Blaise Genest 1
1 SUMO - SUpervision of large MOdular and distributed systems
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : Handling detailed models at each level for thousands of cells is computationally very intensive. Instead, we propose abstractions made at all those levels to test a large number of protocols in a reasonable amount of time while not losing too much accuracy. The goal is to be able to test di↵erent dosages of TRAIL treatments on high-level abstractions, and then refine the number of protocols based on the results and test the most promising ones on more detailed models;
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Poster communications
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Contributor : Blaise Genest <>
Submitted on : Thursday, January 10, 2019 - 5:22:21 PM
Last modification on : Friday, September 13, 2019 - 9:48:42 AM


  • HAL Id : hal-01977466, version 1


Matthieu Pichené, Sucheendra Palaniappan, Eric Fabre, Gregory Batt, Blaise Genest. Efficient Analysis of Multi-level Biological Systems Using Abstraction (poster). HSB 2016, 2016, Grenoble, France. 2016, HSB'16 - Fifth International Workshop on Hybrid Systems Biology. ⟨hal-01977466⟩



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