MgsaResults

MgsaResults-class

Model-based Gene Set Analysis (MGSA) is a Bayesian
modeling approach for gene set enrichment. The package mgsa
implements MGSA and tools to use MGSA together with the Gene
Ontology.

Sebastian Bauer

mgsa

Model-based gene set analysis

MgsaResults function

 <ul>
<li>populationSizeThe number of items in the
  population. </li>
<li>studySetSizeInPopulationThe number of items both
  in the study set and in the population. </li>
<li>alphaPostwith columns <code>value</code>,
  <code>estimate</code> and <code>std.error</code>. </li>
<li>betaPostwith columns <code>value</code>,
  <code>estimate</code> and <code>std.error</code>. </li>
<li>pPostwith columns <code>value</code>, <code>estimate</code>
  and <code>std.error</code>. </li>
<li>setsResultswith columns <code>inPopulation</code>,
  <code>inStudySet</code>, <code>estimate</code> and <code>std.error</code>. The columns of the slots <code>alphaPost</code>,
  <code>betaPost</code>, and <code>pPost</code> contains a realization
  value, its posterior estimate and standard error for the
  parameters alpha, beta and p respectively. The columns of the slot <code>setsResults</code> contains the
  number of items of the set in the population, the number
  of items of the set in the study set, the estimate of its
  marginal posterior probability and its standard error.
  The <code><a rd-options="" href="/link/rownames?package=mgsa&version=1.16.0" data-mini-rdoc="mgsa::rownames">rownames</a></code> are the names of the sets if
  available. Because an <code>MgsaResults</code> is the outcome of an MGSA
  analysis (see <code><a rd-options="" href="/link/mgsa?package=mgsa&version=1.16.0" data-mini-rdoc="mgsa::mgsa">mgsa</a></code>), accessors but no
  replacement methods exist for each slot.
</li>
</ul>

MgsaResults: Results of an MGSA analysis

Description

Arguments

Slots

See Also