plot.selectionResult

Genome-wide association study (GWAS) performed with SLOPE,
short for Sorted L-One Penalized Estimation, a
method for estimating the vector of coefficients in a linear model.
In the first step of GWAS, single nucleotide polymorphisms (SNPs) are
clumped according to their correlations and distances.
Then, SLOPE is performed on the data where each clump has
one representative.
Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su
and Emmanuel Candes (2014)
"SLOPE - Adaptive Variable Selection via Convex Optimization"
<arXiv:1407.3824>.

Piotr Sobczyk

geneSLOPE

Genome-Wide Association Study with SLOPE

Damian Brzyski

Christine Peterson

Emmanuel J. Candes

Malgorzata Bogdan

Chiara Sabatti

plot.selectionResult function

<dl><dt>x</dt>
<dd><code>selectionResult</code> 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 selectionResult class object — plot.selectionResult

<dl>

<dt>x</dt>
<dd><code>selectionResult</code> 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 selectionResult class object

plot.selectionResult: Plot selectionResult class object

Description

Usage

Value

Arguments