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Mendeley readers
| Title |
Generalization of DNA microarray dispersion properties: microarray equivalent of t-distribution
|
|---|---|
| Published in |
Biology Direct, September 2006
|
| DOI | 10.1186/1745-6150-1-27 |
| Pubmed ID | |
| Authors |
Jaroslav P Novak, Seon-Young Kim, Jun Xu, Olga Modlich, David J Volsky, David Honys, Joan L Slonczewski, Douglas A Bell, Fred R Blattner, Eduardo Blumwald, Marjan Boerma, Manuel Cosio, Zoran Gatalica, Marian Hajduch, Juan Hidalgo, Roderick R McInnes, Merrill C Miller III, Milena Penkowa, Michael S Rolph, Jordan Sottosanto, Rene St-Arnaud, Michael J Szego, David Twell, Charles Wang |
| Abstract |
DNA microarrays are a powerful technology that can provide a wealth of gene expression data for disease studies, drug development, and a wide scope of other investigations. Because of the large volume and inherent variability of DNA microarray data, many new statistical methods have been developed for evaluating the significance of the observed differences in gene expression. However, until now little attention has been given to the characterization of dispersion of DNA microarray data. |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| India | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 44% |
| Student > Doctoral Student | 5 | 14% |
| Student > Master | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 58% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Medicine and Dentistry | 2 | 6% |
| Mathematics | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |