Description Usage Arguments Details Value Note Author(s) References See Also Examples
View source: R/609-extractDNAPseDNC.R
The Pseudo Dinucleotide Composition Descriptor
1 2 | extrDNAPseDNC(x, lambda = 3, w = 0.05, normalize = FALSE,
customprops = NULL)
|
x |
the input data, which should be a list or file type. |
lambda |
an integer larger than or equal to 0 and less than or equal to L-2 (L means the length of the shortest sequence in the dataset). It represents the highest counted rank (or tier) of the correlation along a DNA sequence. Its default value is 3. |
w |
the weight factor ranged from 0 to 1. Its default value is 0.05. |
normalize |
with this option, the final feature vector will be normalized based on the total occurrences of all kmers. Therefore, the elements in the feature vectors represent the frequencies of kmers. The default value of this parameter is False. |
customprops |
the users can use their own indices to generate the feature vector. It should be a dict, the key is dinucleotide (string), and its corresponding value is a list type. |
This function calculates the pseudo dinucleotide composition Descriptor
A vector
if the user defined physicochemical indices have not been normalized, it should be normalized.
Min-feng Zhu <wind2zhu@163.com>
Chen W, Feng P M, Lin H, et al. iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition. Nucleic acids research, 2013: gks1450.
See extrDNAPseKNC
1 2 | x = 'GACTGAACTGCACTTTGGTTTCATATTATTTGCTC'
extrDNAPseDNC(x)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.