Name
Title | ||
|---|---|---|
On the association analysis of CNV data: a fast and robust family-based association method. |
Abstract | ||
|---|---|---|
We found that statistical analysis with the expected copy number is more powerful than the statistic with the probe intensity measurements regardless of the accuracy of the estimation of copy numbers. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1622-z | BMC Bioinformatics |
Keywords | Field | DocType |
Association analysis,CNV,Hematocrit,Score test | Score test,Copy-number variation,Biology,Maximum likelihood,Genetic association,Bioinformatics,Genetics | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meiling Liu | 1 | 29 | 6.84 |
| Sanghoon Moon | 2 | 0 | 0.34 |
| Longfei Wang | 3 | 0 | 0.68 |
| Sul-Gi Kim | 4 | 18 | 1.05 |
| Yeon-Jung Kim | 5 | 0 | 0.34 |
| Mi Yeong Hwang | 6 | 2 | 0.81 |
| Young Jin Kim | 7 | 3 | 1.49 |
| Robert C. Elston | 8 | 89 | 8.57 |
| Bong-Jo Kim | 9 | 2 | 0.81 |
| Sung-Ho Won | 10 | 6 | 4.78 |