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Mendeley readers
| Title |
ConReg-R: Extrapolative recalibration of the empirical distribution of p-values to improve false discovery rate estimates
|
|---|---|
| Published in |
Biology Direct, May 2011
|
| DOI | 10.1186/1745-6150-6-27 |
| Pubmed ID | |
| Authors |
Juntao Li, Puteri Paramita, Kwok Pui Choi, R Krishna Murthy Karuturi |
| Abstract |
False discovery rate (FDR) control is commonly accepted as the most appropriate error control in multiple hypothesis testing problems. The accuracy of FDR estimation depends on the accuracy of the estimation of p-values from each test and validity of the underlying assumptions of the distribution. However, in many practical testing problems such as in genomics, the p-values could be under-estimated or over-estimated for many known or unknown reasons. Consequently, FDR estimation would then be influenced and lose its veracity. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 7% |
| Netherlands | 1 | 4% |
| Spain | 1 | 4% |
| Unknown | 24 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 39% |
| Student > Ph. D. Student | 5 | 18% |
| Professor | 3 | 11% |
| Student > Master | 3 | 11% |
| Professor > Associate Professor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 64% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 2 | 7% |
| Mathematics | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 1 | 4% |