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Mendeley readers
| Title |
A nitty-gritty aspect of correlation and network inference from gene expression data
|
|---|---|
| Published in |
Biology Direct, August 2008
|
| DOI | 10.1186/1745-6150-3-35 |
| Pubmed ID | |
| Authors |
Lev B Klebanov, Andrei Yu Yakovlev |
| Abstract |
All currently available methods of network/association inference from microarray gene expression measurements implicitly assume that such measurements represent the actual expression levels of different genes within each cell included in the biological sample under study. Contrary to this common belief, modern microarray technology produces signals aggregated over a random number of individual cells, a "nitty-gritty" aspect of such arrays, thereby causing a random effect that distorts the correlation structure of intra-cellular gene expression levels. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 4% |
| Norway | 1 | 4% |
| United Kingdom | 1 | 4% |
| Taiwan | 1 | 4% |
| Argentina | 1 | 4% |
| China | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 16 | 70% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 30% |
| Student > Master | 5 | 22% |
| Student > Ph. D. Student | 4 | 17% |
| Professor > Associate Professor | 4 | 17% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 39% |
| Agricultural and Biological Sciences | 9 | 39% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Unspecified | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 9% |