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Mendeley readers
| Title |
Comparison of normalization methods for CodeLink Bioarray data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2005
|
| DOI | 10.1186/1471-2105-6-309 |
| Pubmed ID | |
| Authors |
Wei Wu, Nilesh Dave, George C Tseng, Thomas Richards, Eric P Xing, Naftali Kaminski |
| Abstract |
The quality of microarray data can seriously affect the accuracy of downstream analyses. In order to reduce variability and enhance signal reproducibility in these data, many normalization methods have been proposed and evaluated, most of which are for data obtained from cDNA microarrays and Affymetrix GeneChips. CodeLink Bioarrays are a newly emerged, single-color oligonucleotide microarray platform. To date, there are no reported studies that evaluate normalization methods for CodeLink Bioarrays. |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 4% |
| Japan | 1 | 2% |
| Unknown | 44 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 32% |
| Student > Ph. D. Student | 7 | 15% |
| Professor | 5 | 11% |
| Student > Master | 3 | 6% |
| Other | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 36% |
| Computer Science | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Mathematics | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 9 | 19% |