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Mendeley readers
| Title |
A novel method of differential gene expression analysis using multiple cDNA libraries applied to the identification of tumour endothelial genes
|
|---|---|
| Published in |
BMC Genomics, April 2008
|
| DOI | 10.1186/1471-2164-9-153 |
| Pubmed ID | |
| Authors |
John MJ Herbert, Dov Stekel, Sharon Sanderson, Victoria L Heath, Roy Bicknell |
| Abstract |
In this study, differential gene expression analysis using complementary DNA (cDNA) libraries has been improved. Firstly by the introduction of an accurate method of assigning Expressed Sequence Tags (ESTs) to genes and secondly, by using a novel likelihood ratio statistical scoring of differential gene expression between two pools of cDNA libraries. These methods were applied to the latest available cell line and bulk tissue cDNA libraries in a two-step screen to predict novel tumour endothelial markers. Initially, endothelial cell lines were in silico subtracted from non-endothelial cell lines to identify endothelial genes. Subsequently, a second bulk tumour versus normal tissue subtraction was employed to predict tumour endothelial markers. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 5% |
| United States | 1 | 3% |
| Belgium | 1 | 3% |
| France | 1 | 3% |
| Unknown | 34 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 28% |
| Student > Ph. D. Student | 11 | 28% |
| Other | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 54% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 4 | 10% |