is_classes

Check if obj$classes looks as expected.
is_class returns FALSE for example in these cases:
is_classes(NULL)
is_classes(data.frame())
is_classes(data.frame(class=c("T","T"), parent=c("..root..","..root..")))

Annotate single-cell RNA sequencing data manually based on
marker gene thresholds.
Find cell type rules (gene+threshold) through exploration,
use the popular piping operator '%>%' to reconstruct complex
cell type hierarchies.
'cellpypes' models technical noise to find positive and negative cells for
a given expression threshold and returns cell type labels or pseudobulks.
Cite this package as Frauhammer (2022) <doi:10.5281/zenodo.6555728> and
visit <https://github.com/FelixTheStudent/cellpypes> for tutorials and newest
features.

Felix Frauhammer

cellpypes

Cell Type Pipes for Single-Cell RNA Sequencing Data

is_classes function

<dl><dt>classes</dt>
<dd>The obj$classes you want to check.</dd></dl>

Arguments

Check if obj$classes looks as expected.
is_class returns FALSE for example in these cases:
is_classes(NULL)
is_classes(data.frame())
is_classes(data.frame(class=c("T","T"), parent=c("..root..","..root.."))) — is_classes

<dl>

<dt>classes</dt>
<dd>The obj$classes you want to check.</dd>

</dl>

Check if obj$classes looks as expected.
is_class returns FALSE for example in these cases:
is_classes(NULL)
is_classes(data.frame())
is_classes(data.frame(class=c("T","T"), parent=c("..root..","..root..")))

is_classes: Check if obj$classes looks as expected. is_class returns FALSE for example in these cases: is_classes(NULL) is_classes(data.frame()) is_classes(data.frame(class=c("T","T"), parent=c("..root..","..root..")))

Description

Usage

Value

Arguments