FDR_WS

Computes False Discovery Rate using base-pair window as proximity measure.

internal

Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.

Dongjin Li

bravo

Bayesian Screening and Variable Selection

Debarshi Chakraborty

Somak Dutta

Vivekananda Roy

FDR_WS function

<dl><dt>model</dt>
<dd>Integer vector of selected SNP indices.</dd>
<dt>truth</dt>
<dd>Integer vector of true causal SNP indices.</dd>
<dt>mapmat</dt>
<dd>Map matrix with chromosome and position columns.</dd>
<dt>winsize</dt>
<dd>Window size in base pairs (default 1000).</dd></dl>

Arguments

FDR using window size — FDR_WS

<dl>

<dt>model</dt>
<dd>Integer vector of selected SNP indices.</dd>


<dt>truth</dt>
<dd>Integer vector of true causal SNP indices.</dd>


<dt>mapmat</dt>
<dd>Map matrix with chromosome and position columns.</dd>


<dt>winsize</dt>
<dd>Window size in base pairs (default 1000).</dd>

</dl>

FDR_WS: FDR using window size

Description

Usage

Arguments