Provides tools to accurately estimate cell type abundances
from heterogeneous bulk expression. A reference-based method utilizes
single-cell information to generate a signature matrix and transformation
of bulk expression for accurate regression based estimates. A marker-based
method utilizes known cell-specific marker genes to measure relative
abundances across samples.
For more details, see Jew and Alvarez et al (2019) <doi:10.1101/669911>.

Decomposition of Bulk Expression with Single-Cell Sequencing

package-ubuntu-20.04-r-4.0.5#cran#BisqueRNA-1.0.4

<p>Remove genes in Expression Set with zero variance across samples
</p>

FilterZeroVarianceGenes(eset, verbose = TRUE)

<table summary="R argblock">
<tr valign="top">
<td><code>eset</code></td>
<td>
<p>Expression Set</p>
</td>
</tr>
<tr valign="top">
<td><code>verbose</code></td>
<td>
<p>Boolean. Print logging info</p>
</td>
</tr>
</table>

<p>eset Expression Set with zero variance genes removed
</p>

package-ubuntu-20.04-r-4.0.5#cran#BisqueRNA-1.0.4#docs#FilterZeroVarianceGenes

FilterZeroVarianceGenes

Description

Usage

Arguments

Value

BisqueRNA

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`eset`	Expression Set
`verbose`	Boolean. Print logging info