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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2017
License: CC BY
Data sources: Sygma
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Dataset Supporting The Paper: "A Case Study On The Parametric Occurrence Of Multiple Steady States"

Authors: Bradford, Russell; Davenport, James H.; England, Matthew; Errami, Hassan; Gerdt, Vladimir; Grigoriev, Dima; Hoyt, Charles; +4 Authors

Dataset Supporting The Paper: "A Case Study On The Parametric Occurrence Of Multiple Steady States"

Abstract

Dataset supporting the paper: Russell Bradford, James H. Davenport, Matthew England, Hassan Errami, Vladimir Gerdt, Dima Grigoriev, Charles Hoyt, Marek Košta, Ovidiu Radulescu, Thomas Sturm, and Andreas Weber. A Case Study on the Parametric Occurrence of Multiple Steady States. In Proceedings of ISSAC ’17, Kaiserslautern, Germany, July 25-28, 2017, 8 pages. ACM, 2017. https://doi.org/http://dx.doi.org/10.1145/3087604.3087622 Preprint: https://arxiv.org/abs/1704.08997 We provide all the accompanying material for the main symbolic computations in Section 2.1 ############### Section 2.1.1 ############### The computations were carried out within the following setting: 1. Compiled and functional Reduce system r3606 is available and the environment variable $trunk points to the trunk of Reduce source tree (e.g. ~/reduce-algebra/trunk). To compile and install Reduce see: http://redlog.eu/reduce-wiki/index.php/Installation 2. Compiled and functional QEPCAD B v1.69 is installed and it is possible to call QEPCAD from Reduce (via rlqepcad). To compile and install QEPCAD see: https://www.usna.edu/CS/qepcadweb/B/QEPCAD.html To reproduce the experiments reported in the paper go: ./generate-problems-onevar.py ./compute-all.sh --csl ~/reduce-algebra/trunk ./problems-onevar 4 ./einsetzen.sh A few notes BEFORE YOU RUN: 1. To try a different value of k19, edit the file solbiomod26.red. Currently we set k19 = 500. 2. It is advised to run these test on a multicore machine, e.g., we used 32 cores (the last argument of ./compute-all.sh script) for trying the 3^11 candidates (einsetzen.sh script). 3. The script generate-problems-assignmnets.py (called from einsetzen.sh) creates 3^11 test files! 4. The potential values to be tried using interval refinement are described as real algebraic numbers, i.e., pairs of polynomial and isolating interval. These numbers are stored in assignment files (assignment-<var>-<possibility#>) produced by ./gml-to-red.py (called from einsetzen.sh) ############### Section 2.1.2 ############### These computation were conducted in commercial Computer Algebra System, Maple 2016. We have included the Maple Worksheet file which is annotated to describe the calulations in detail. We also include a pdf printout of the worksheet which those without access to Maple can read.

Keywords

Biological Networks, Symbolic Computation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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