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Mendeley readers
| Title |
Relative impact of key sources of systematic noise in Affymetrix and Illumina gene-expression microarray experiments
|
|---|---|
| Published in |
BMC Genomics, December 2011
|
| DOI | 10.1186/1471-2164-12-589 |
| Pubmed ID | |
| Authors |
Robert R Kitchen, Vicky S Sabine, Arthur A Simen, J Michael Dixon, John MS Bartlett, Andrew H Sims |
| Abstract |
Systematic processing noise, which includes batch effects, is very common in microarray experiments but is often ignored despite its potential to confound or compromise experimental results. Compromised results are most likely when re-analysing or integrating datasets from public repositories due to the different conditions under which each dataset is generated. To better understand the relative noise-contributions of various factors in experimental-design, we assessed several Illumina and Affymetrix datasets for technical variation between replicate hybridisations of Universal Human Reference (UHRR) and individual or pooled breast-tumour RNA. |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| United Kingdom | 2 | 3% |
| Russia | 1 | 2% |
| Unknown | 52 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Researcher | 13 | 22% |
| Professor > Associate Professor | 8 | 14% |
| Student > Master | 4 | 7% |
| Professor | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 29% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Medicine and Dentistry | 8 | 14% |
| Computer Science | 5 | 9% |
| Mathematics | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 8 | 14% |