Jan 102014
 

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

ZarLab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX

:: DOWNLOAD

 SLIP / SLIDE 

:: 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

285 views

Sorry, the comment form is closed at this time.