Protocols

TOW specifications

Information


Unique identifier OMICS_32022
Name TOW
Alternative name Test the effect of the Optimally Weighted combination of variants
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

Download


download.png

Versioning


No version available

Maintainer


  • person_outline Shuanglin Zhang

Publication for Test the effect of the Optimally Weighted combination of variants

TOW citation

call_split

Testing optimally weighted combination of variants for hypertension

2014
BMC Proc
PMCID: 4143713
PMID: 25519394
DOI: 10.1186/1753-6561-8-S1-S59
call_split See protocol

[…] s given by wmo= ∑i=1n(ỹi-ỹ ¯)(x ∼im-x ∼ ¯m)/ ∑i=1n(x ∼im-x ∼ ¯m)2. Let x ∼io= ∑m-1Mwmox ∼im. Then S0(w1o,⋯,wMo)=n ∑i=1n(ỹi-ỹ ¯)(x ∼1o-x ∼ ¯o)/ ∑i=1n(ỹi-ỹ ¯)2. We propose the new test statistic TOW to test the effect of the optimally weighted combination of variants ∑m=1Mwmox ∼im as TT= ∑i=1n(ỹi-ỹ ¯)(x ∼1o-x ∼ ¯o). TT is equivalent to S0(w1o,⋯wMo) since ∑i=1n(ỹi-ỹ ¯)2 is a constant. The optimal wei […]

TOW institution(s)
Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA
TOW funding source(s)
Supported by the National Human Genome Research Institute of the National Institutes of Health under Award Number R03HG00615.

TOW reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review TOW