available_ele

Retrieves the unique, non-missing values from a specified column of a data frame.
An optional expression can be provided to filter the rows of the data frame
before extracting the values.

Provides a comprehensive toolkit for single-cell annotation with the 'CellMarker2.0' database (see Xia Li, Peng Wang, Yunpeng Zhang (2023) <doi: 10.1093/nar/gkac947>). Streamlines biological label assignment in single-cell RNA-seq data and facilitates transcriptomic analysis, including preparation of TCGA<https://portal.gdc.cancer.gov/> and GEO<https://www.ncbi.nlm.nih.gov/geo/> datasets, differential expression analysis and visualization of enrichment analysis results. Additional utility functions support various bioinformatics workflows. See Wei Cui (2024) <doi: 10.1101/2024.09.14.609619> for more details.

Wei Cui

easybio

Comprehensive Single-Cell Annotation and Transcriptomic Analysis
Toolkit

available_ele function

<dl><dt>data</dt>
<dd>A data frame from which to extract values.</dd>
<dt>col_name</dt>
<dd>A single string specifying the name of the target column.</dd>
<dt>subset</dt>
<dd>An optional logical expression used to subset the data frame.
This expression is evaluated in the context of the <code>data</code>, so columns can be
referred to by their names directly (e.g., <code>Sepal.Length &gt; 5</code>).</dd></dl>

Arguments

Extract Unique Elements from a Column with Optional Filtering — available_ele

<dl>

<dt>data</dt>
<dd>A data frame from which to extract values.</dd>


<dt>col_name</dt>
<dd>A single string specifying the name of the target column.</dd>


<dt>subset</dt>
<dd>An optional logical expression used to subset the data frame.
This expression is evaluated in the context of the <code>data</code>, so columns can be
referred to by their names directly (e.g., <code>Sepal.Length &gt; 5</code>).</dd>

</dl>

available_ele: Extract Unique Elements from a Column with Optional Filtering

Description

Usage

Value

Arguments

Examples