From Genome Analysis Wiki
Jump to navigationJump to search
2 bytes added
, 21:29, 8 April 2014
Line 24: |
Line 24: |
| <math>V_{meta,i}=\sum_{k=1}^S{V_{ii,k}}</math> | | <math>V_{meta,i}=\sum_{k=1}^S{V_{ii,k}}</math> |
| | | |
− | Then the score test statistics for the <math>i^{th}</math> variant <math>T_{meta,i}</math> asymptotically follows standard normal distribution | + | Then the score test statistics for the <math>i^{th}</math> variant, <math>T_{meta,i}</math>, asymptotically follows standard normal distribution |
| | | |
| <math>T_{meta,i}=U_{meta,i}\bigg/\sqrt{V_{meta,i}}=\sum_{k=1}^S {U_{i,k}}\bigg/\sqrt{\sum_{k=1}^S{V_{ii,k}}} \sim\mathbf{N}(0,1)</math> | | <math>T_{meta,i}=U_{meta,i}\bigg/\sqrt{V_{meta,i}}=\sum_{k=1}^S {U_{i,k}}\bigg/\sqrt{\sum_{k=1}^S{V_{ii,k}}} \sim\mathbf{N}(0,1)</math> |