Nontrivial Characteristics Embedded in Microarray Coexpression Profiles
| Autor: | Bing-Hong Wang, Chuan-Yang Yin, Guimei Zhu, Huijie Yang |
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| Rok vydání: | 2015 |
| Předmět: |
History
Microarray business.industry Quantitative Biology::Molecular Networks Pattern recognition Degree distribution computer.software_genre Quantitative Biology::Genomics Computer Science Applications Education Functional networks Correlation Artificial intelligence Data mining business computer Mathematics |
| Zdroj: | Journal of Physics: Conference Series. 604:012022 |
| ISSN: | 1742-6596 |
| DOI: | 10.1088/1742-6596/604/1/012022 |
| Popis: | We propose the biological robustness as a key criterion in inferring functional networks from microarray coexpression profiles. The networks are constructed by filtering out the small values in the coexpression correlation matrices. The robustness refers to there exists a wide region of the filtering criterion value, in which the constructed networks have almost the same properties, such as the degree distribution, the motif pattern, the edge property and so on. This kind of networks are considered biologically meaningful. |
| Databáze: | OpenAIRE |
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