SLIP 1.0.1 / SLIDE 1.0.4
:: DESCRIPTION
SLIP (Sliding-window method for Locally Inter-correlated markers for Power estimation) is a multivariate normal distribution (MVN)-based power estimation method. SLIP shows a near identical accuracy to the standard simulation procedure for power, and is much faster.
SLIP (Sliding-window method for Locally Inter-correlated markers for Power estimation) is a multivariate normal distribution (MVN)-based power estimation method. SLIP shows a near identical accuracy to the standard simulation procedure for power, and is much faster.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux / Mac OsX
:: DOWNLOAD
:: MORE INFORMATION
Citation
Buhm Han, Hyun Min Kang, and Eleazar Eskin (2009)
Rapid and accurate multiple testing correction and power estimation for millions of correlated markers.
PLoS Genet 5(4): e1000456. doi:10.1371/journal.pgen.1000456