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Mendeley readers
| Title |
Integrating diverse genomic data using gene sets
|
|---|---|
| Published in |
Genome Biology, October 2011
|
| DOI | 10.1186/gb-2011-12-10-r105 |
| Pubmed ID | |
| Authors |
Svitlana Tyekucheva, Luigi Marchionni, Rachel Karchin, Giovanni Parmigiani |
| Abstract |
We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although they may act through different mechanisms in different samples, and show we can discover and validate important disease-related gene sets that would not be discovered by analyzing each data type individually. |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| Germany | 2 | 2% |
| Italy | 1 | <1% |
| Denmark | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 103 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 29% |
| Student > Ph. D. Student | 32 | 27% |
| Professor > Associate Professor | 10 | 9% |
| Professor | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 18 | 15% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 53% |
| Computer Science | 13 | 11% |
| Mathematics | 12 | 10% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Medicine and Dentistry | 5 | 4% |
| Other | 8 | 7% |
| Unknown | 8 | 7% |