dmSQTLdispersion-class


dmSQTLdispersion extends the <code>dmSQTLdata</code> by adding the
dispersion estimates of Dirichlet-multinomial distribution used to model the
feature (e.g., transcript, exon, exonic bin) counts for each gene-SNP pair in
the sQTL analysis. Result of <code><a rd-options="" href="/link/dmDispersion?package=DRIMSeq&version=1.0.2" data-mini-rdoc="DRIMSeq::dmDispersion">dmDispersion</a></code>.


The package provides two frameworks. One for the differential
splicing analysis between different conditions and one for the sQTL analysis.
Both are based on modeling the counts of genomic features (i.e., transcripts,
exons or exonic bins) with Dirichlet-multinomial distribution. The package also
makes available functions for visualization and exploration of the data and
results.

Malgorzata Nowicka

DRIMSeq

Differential splicing and sQTL analyses with Dirichlet-multinomial model
in RNA-Seq

dmSQTLdispersion-class function

 <dl>
<dt><code>mean_expression</code></dt><dd>Numeric vector of mean gene expression.</dd> <dt><code>common_dispersion</code></dt><dd>Numeric value of estimated common dispersion.</dd> <dt><code>genewise_dispersion</code></dt><dd>List of estimated gene-wise dispersions. Each
element of this list is a vector of dispersions estimated for all the
genotype blocks assigned to a given gene.</dd> </dl>

Slots

dmSQTLdispersion extends the <code><linkS4class>dmSQTLdata</linkS4class></code> by adding the
dispersion estimates of Dirichlet-multinomial distribution used to model the
feature (e.g., transcript, exon, exonic bin) counts for each gene-SNP pair in
the sQTL analysis. Result of <code><a href="dmDispersion" rd-options="">dmDispersion</a></code>.

dmSQTLdispersion-class: dmSQTLdispersion object

Description

Arguments

Slots

See Also