Title |
BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology
|
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Published in |
BMC Systems Biology, February 2015
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DOI | 10.1186/s12918-015-0144-4 |
Pubmed ID | |
Authors |
Alejandro F Villaverde, David Henriques, Kieran Smallbone, Sophia Bongard, Joachim Schmid, Damjan Cicin-Sain, Anton Crombach, Julio Saez-Rodriguez, Klaus Mauch, Eva Balsa-Canto, Pedro Mendes, Johannes Jaeger, Julio R Banga |
Abstract |
Dynamic modelling is one of the cornerstones of systems biology. Many research efforts are currently being invested in the development and exploitation of large-scale kinetic models. The associated problems of parameter estimation (model calibration) and optimal experimental design are particularly challenging. The community has already developed many methods and software packages which aim to facilitate these tasks. However, there is a lack of suitable benchmark problems which allow a fair and systematic evaluation and comparison of these contributions. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
United Kingdom | 1 | 11% |
Spain | 1 | 11% |
Germany | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 2 | 22% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 2% |
United Kingdom | 2 | 1% |
Portugal | 1 | <1% |
Malaysia | 1 | <1% |
Hungary | 1 | <1% |
Sweden | 1 | <1% |
Brazil | 1 | <1% |
Ghana | 1 | <1% |
Taiwan | 1 | <1% |
Other | 3 | 2% |
Unknown | 119 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 27% |
Researcher | 21 | 16% |
Student > Master | 15 | 11% |
Professor | 12 | 9% |
Student > Doctoral Student | 9 | 7% |
Other | 27 | 20% |
Unknown | 14 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 24% |
Biochemistry, Genetics and Molecular Biology | 20 | 15% |
Computer Science | 19 | 14% |
Engineering | 17 | 13% |
Medicine and Dentistry | 6 | 4% |
Other | 23 | 17% |
Unknown | 17 | 13% |