reschedule

Given the results the data is rescaled for values between 0 and 1, so that the length of the sequences does not influence the results. The rescaling of the mRNA and lncRNA are made separately

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

reschedule function

<dl><dt>matrix</dt>
<dd>Array with results numerics</dd>
<dt>mRNA</dt>
<dd>Integer number of mRNA sequences</dd>
<dt>lncRNA</dt>
<dd>Integer number of lncRNA sequences</dd>
<dt>sncRNA</dt>
<dd>Integer number of sncRNA sequences</dd>
<dt>rangeMinMax</dt>
<dd>Vector with the minimum and maximum values for the scale</dd></dl>

Arguments

Author

Rescales the results between values from 0 to 1 — reschedule

<dl>

<dt>matrix</dt>
<dd>Array with results numerics</dd>


<dt>mRNA</dt>
<dd>Integer number of mRNA sequences</dd>


<dt>lncRNA</dt>
<dd>Integer number of lncRNA sequences</dd>


<dt>sncRNA</dt>
<dd>Integer number of sncRNA sequences</dd>


<dt>rangeMinMax</dt>
<dd>Vector with the minimum and maximum values for the scale</dd>

</dl>

reschedule: Rescales the results between values from 0 to 1

Description

Usage

Value

Arguments

Author