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Mendeley readers
| Title |
Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level
|
|---|---|
| Published in |
BMC Systems Biology, June 2012
|
| DOI | 10.1186/1752-0509-6-64 |
| Pubmed ID | |
| Authors |
Wenting Li, Rui Wang, Linfu Bai, Zhangming Yan, Zhirong Sun |
| Abstract |
Identification of driver mutations among numerous genomic alternations remains a critical challenge to the elucidation of the underlying mechanisms of cancer. Because driver mutations by definition are associated with a greater number of cancer phenotypes compared to other mutations, we hypothesized that driver mutations could more easily be identified once the genotype-phenotype correlations are detected across tumor samples. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 14% |
| Unknown | 18 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 38% |
| Researcher | 6 | 29% |
| Professor > Associate Professor | 2 | 10% |
| Other | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 57% |
| Computer Science | 4 | 19% |
| Medicine and Dentistry | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Mathematics | 1 | 5% |
| Other | 0 | 0% |