plot.clumpingResult

internal

Genome-wide association study (GWAS) performed with SLOPE,
short for Sorted L-One Penalized Estimation, a
method for estimating the vector of coefficients in linear model.
In the first step of GWAS, SNPs are clumped according to their correlations and
distances. Then, SLOPE is performed on data where each clump has
one representative.

Piotr Sobczyk

geneSLOPE

Genome-Wide Association Study with SLOPE

Damian Brzyski

Christine Peterson

Emmanuel J. Candes

Malgorzata Bogdan

Chiara Sabatti

plot.clumpingResult function

<dl><dt>x</dt>
<dd>clumpingResult class object</dd>
<dt>chromosomeNumber</dt>
<dd>optional parameter, only selected chromosome will be plotted</dd>
<dt>clumpNumber</dt>
<dd>optional parameter, only SNPs from selected clump will be plotted</dd>
<dt>...</dt>
<dd>Further arguments to be passed to or from other methods. They are ignored in this function.</dd></dl>

Arguments

Plot clumpingResult class object — plot.clumpingResult

<dl>

<dt>x</dt>
<dd>clumpingResult class object</dd>


<dt>chromosomeNumber</dt>
<dd>optional parameter, only selected chromosome will be plotted</dd>


<dt>clumpNumber</dt>
<dd>optional parameter, only SNPs from selected clump will be plotted</dd>


<dt>...</dt>
<dd>Further arguments to be passed to or from other methods. They are ignored in this function.</dd>

</dl>

Plot clumpingResult class object

plot.clumpingResult: Plot clumpingResult class object

Description

Usage

Arguments