diagnose

Diagnostic tool which prints information for identifying cell subclasses or
groups with weak signatures.

Deconvolution of bulk RNA-Sequencing data into proportions of cells based on a reference single-cell RNA-Sequencing dataset using high-dimensional geometric methodology.

Myles Lewis

cellGeometry

Geometric Single Cell Deconvolution

Rachel Lau

diagnose function

<dl><dt>object</dt>
<dd>A 'cellMarkers' or 'deconv' class object.</dd>
<dt>group</dt>
<dd>Character vector to focus on cell subclasses within a particular
group or groups.</dd>
<dt>angle_cutoff</dt>
<dd>Angle in degrees below which cell cluster vectors are
considered to overlap too much. Range 0-90. See <code>cos_similarity()</code>.</dd>
<dt>weak</dt>
<dd>Number of 1st ranked genes for each cell cluster at which/below
its gene set is considered weak.</dd></dl>

Arguments

Diagnostics for cellMarker signatures — diagnose

<dl>

<dt>object</dt>
<dd>A 'cellMarkers' or 'deconv' class object.</dd>


<dt>group</dt>
<dd>Character vector to focus on cell subclasses within a particular
group or groups.</dd>


<dt>angle_cutoff</dt>
<dd>Angle in degrees below which cell cluster vectors are
considered to overlap too much. Range 0-90. See <code>cos_similarity()</code>.</dd>


<dt>weak</dt>
<dd>Number of 1st ranked genes for each cell cluster at which/below
its gene set is considered weak.</dd>

</dl>

diagnose: Diagnostics for cellMarker signatures

Description

Usage

Value

Arguments