| Title |
Exploring the use of internal and externalcontrols for assessing microarray technical performance
|
|---|---|
| Published in |
BMC Research Notes, December 2010
|
| DOI | 10.1186/1756-0500-3-349 |
| Pubmed ID | |
| Authors |
Katrice A Lippa, David L Duewer, Marc L Salit, Laurence Game, Helen C Causton |
| Abstract |
The maturing of gene expression microarray technology and interest in the use of microarray-based applications for clinical and diagnostic applications calls for quantitative measures of quality. This manuscript presents a retrospective study characterizing several approaches to assess technical performance of microarray data measured on the Affymetrix GeneChip platform, including whole-array metrics and information from a standard mixture of external spike-in and endogenous internal controls. Spike-in controls were found to carry the same information about technical performance as whole-array metrics and endogenous "housekeeping" genes. These results support the use of spike-in controls as general tools for performance assessment across time, experimenters and array batches, suggesting that they have potential for comparison of microarray data generated across species using different technologies. |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 33% |
| Other | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 50% |
| Medicine and Dentistry | 2 | 8% |
| Immunology and Microbiology | 2 | 8% |
| Unspecified | 1 | 4% |
| Environmental Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2011.
All research outputs
#12,851,465
of 22,659,164 outputs
Outputs from BMC Research Notes
#1,538
of 4,248 outputs
Outputs of similar age
#131,715
of 180,755 outputs
Outputs of similar age from BMC Research Notes
#20
of 29 outputs
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