| Title |
Algebraic Systems Biology: A Case Study for the Wnt Pathway
|
|---|---|
| Published in |
Bulletin of Mathematical Biology, December 2015
|
| DOI | 10.1007/s11538-015-0125-1 |
| Pubmed ID | |
| Authors |
Elizabeth Gross, Heather A. Harrington, Zvi Rosen, Bernd Sturmfels |
| Abstract |
Steady-state analysis of dynamical systems for biological networks gives rise to algebraic varieties in high-dimensional spaces whose study is of interest in their own right. We demonstrate this for the shuttle model of the Wnt signaling pathway. Here, the variety is described by a polynomial system in 19 unknowns and 36 parameters. It has degree 9 over the parameter space. This case study explores multistationarity, model comparison, dynamics within regions of the state space, identifiability, and parameter estimation, from a geometric point of view. We employ current methods from computational algebraic geometry, polyhedral geometry, and combinatorics. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Germany | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| Germany | 1 | 3% |
| Unknown | 34 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Researcher | 7 | 18% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 13 | 34% |
| Agricultural and Biological Sciences | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Computer Science | 3 | 8% |
| Engineering | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2021.
All research outputs
#13,101,688
of 22,835,198 outputs
Outputs from Bulletin of Mathematical Biology
#506
of 1,095 outputs
Outputs of similar age
#180,348
of 388,733 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#4
of 16 outputs
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