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Mendeley readers
| Title |
How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different results
|
|---|---|
| Published in |
BMC Bioinformatics, March 2006
|
| DOI | 10.1186/1471-2105-7-137 |
| Pubmed ID | |
| Authors |
Frank F Millenaar, John Okyere, Sean T May, Martijn van Zanten, Laurentius ACJ Voesenek, Anton JM Peeters |
| Abstract |
Short oligonucleotide arrays for transcript profiling have been available for several years. Generally, raw data from these arrays are analysed with the aid of the Microarray Analysis Suite or GeneChip Operating Software (MAS or GCOS) from Affymetrix. Recently, more methods to analyse the raw data have become available. Ideally all these methods should come up with more or less the same results. We set out to evaluate the different methods and include work on our own data set, in order to test which method gives the most reliable results. |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 2% |
| United Kingdom | 2 | 2% |
| Brazil | 2 | 2% |
| United States | 2 | 2% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Hungary | 1 | <1% |
| Canada | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 107 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 31% |
| Student > Ph. D. Student | 27 | 22% |
| Student > Postgraduate | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Professor > Associate Professor | 7 | 6% |
| Other | 20 | 16% |
| Unknown | 14 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 57% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Medicine and Dentistry | 7 | 6% |
| Computer Science | 7 | 6% |
| Mathematics | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 16 | 13% |