deBarcode

Identification of sets of objects with shared features is a common operation in all disciplines. Analysis of intersections among multiple sets is fundamental for in-depth understanding of their complex relationships. This package implements a theoretical framework for efficient computation of statistical distributions of multi-set intersections based upon combinatorial theory, and provides multiple scalable techniques for visualizing the intersection statistics. The statistical algorithm behind this package was published in Wang et al. (2015) <doi:10.1038/srep16923>.

Minghui Wang

SuperExactTest

Exact Test and Visualization of Multi-Set Intersections

Yongzhong Zhao

Bin Zhang

deBarcode function

<dl> <dt>barcode</dt>
<dd>a vector of character strings, encoding the intersection combination.</dd> <dt>setnames</dt>
<dd>set names.</dd> <dt>collapse</dt>
<dd>an optional character string to separate the results. See <code><a href="/link/paste?package=SuperExactTest&version=1.2.0" data-mini-rdoc="SuperExactTest::paste">paste</a></code>.</dd></dl>

Arguments

Minghui Wang &lt;minghui.wang@mssm.edu&gt;

Author

Decrypt Barcode — deBarcode

<dl>

 <dt>barcode</dt>
<dd>a vector of character strings, encoding the intersection combination.</dd>

 <dt>setnames</dt>
<dd>set names.</dd>

 <dt>collapse</dt>
<dd>an optional character string to separate the results. See <code><a href='https://rdrr.io/r/base/paste.html'>paste</a></code>.</dd>

</dl>

deBarcode: Decrypt Barcode

Description

Usage

Value

Arguments

Author

Details

Examples