| Title |
Gene regulatory networks in plants: learning causality from time and perturbation
|
|---|---|
| Published in |
Genome Biology, June 2013
|
| DOI | 10.1186/gb-2013-14-6-123 |
| Pubmed ID | |
| Authors |
Gabriel Krouk, Jesse Lingeman, Amy Marshall Colon, Gloria Coruzzi, Dennis Shasha |
| Abstract |
The goal of systems biology is to generate models for predicting how a system will react under untested conditions or in response to genetic perturbations. This paper discusses experimental and analytical approaches to deriving causal relationships in gene regulatory networks. |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Germany | 3 | 2% |
| France | 1 | <1% |
| Chile | 1 | <1% |
| New Zealand | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 139 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 27% |
| Researcher | 35 | 23% |
| Student > Master | 17 | 11% |
| Professor | 10 | 7% |
| Student > Bachelor | 8 | 5% |
| Other | 27 | 18% |
| Unknown | 13 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 85 | 56% |
| Biochemistry, Genetics and Molecular Biology | 25 | 17% |
| Computer Science | 8 | 5% |
| Engineering | 5 | 3% |
| Environmental Science | 4 | 3% |
| Other | 6 | 4% |
| Unknown | 18 | 12% |