安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

SLIDE

SLIDE (Sliding-window method for Locally Inter-correlated markers with asymptotic Distribution Errors corrected) is a multivariate normal distribution (MVN)-based multiple hypothesis testing correction method. SLIDE shows a near identical accuracy to the gold standard, the permutation test, and is much faster.

飞兔加速器官网

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.

安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

SLIDE (Linux compatible, 32 bit) slide.1.0.4.tar.gz

SLIDE (Linux compatible, Intel64) slide.1.0.4.intel64.tar.gz

SLIDE (Mac OS, 32 bit) slide.1.0.4 (Mac OS, 32bit)

SLIDE (Mac OS, Intel64) slide.1.0.4 (Mac OS, 64bit)

SLIP (Linux compatible, 32 bit) slip.1.0.1.tar.gz

安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

v1.0.4 (2010-06-11) Mac OS version added
v1.0.4 (2009-10-29) bug in using option -QG is now fixed (Thanks to Dr. Sungeun Kim)
v1.0.3 (2009-09-16) Intel64 compiled version is now available for dealing with large file (>2Gb) (Thanks to Dr. Roman Pahl)
v1.0.2 (2009-05-21) bug in format converter fixed (Thanks to Dr. Lisa Martin for reporting the bug.)
v1.0.1 (2009-03-16) format converter PED->SLIDE included
v1.0.0 (2009-01-28) released

安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

v1.0.1 (2009-03-11) format converter SLIP->SLIDE included for estimating per-marker threshold
v1.0.0 (2009-03-10) released

安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

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

安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

小白兔加速器 - buhan (AT) cs-ucsd-edu
Eleazar Eskin - eeskin (AT) cs-ucla-edu (Please replace dashes ‘-’ with dots ‘.’)

安卓软件-免费软件站-hammer加速器-黑洞加速官网下载苹果版安装

Copyright (c) 2009 ZarLab. The softwares are provided “AS IS”, without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.