threshold

Given an integer value X, a cut, that is, edges that are cut will be assigned zero. This cut will be done in the network where the edges have a weight less than the value of X.

It makes the creation of networks from sequences of RNA, with this is done the abstraction of characteristics of these networks with a methodology of threshold for the purpose of making a classification between the classes of the sequences. There are four data present in the 'BASiNET' package, "sequences", "sequences2", "sequences-predict" and "sequences2-predict" with 11, 10, 11 and 11 sequences respectively. These sequences were taken from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run examples. The BASiNET was published on Nucleic Acids Research, (ITO, Eric; KATAHIRA, Isaque; VICENTE, Fábio; PEREIRA, Felipe; LOPES, Fabrício, 2018) <doi:10.1093/nar/gky462>.

Fabricio Martins Lopes

BASiNET

Classification of RNA Sequences using Complex Network Theory

Eric Augusto Ito

threshold function

<dl><dt>x</dt>
<dd>Integer value that would limit the edges</dd>
<dt>net</dt>
<dd>Complex network where the edges will be cut</dd></dl>

Arguments

Author

Applies threshold on the network from a value — threshold

<dl>

<dt>x</dt>
<dd>Integer value that would limit the edges</dd>


<dt>net</dt>
<dd>Complex network where the edges will be cut</dd>

</dl>

threshold: Applies threshold on the network from a value

Description

Usage

Value

Arguments

Author