EIIP: Electron-Ion Interaction Pseudopotentials (EIIP)

In ftrCOOL: Feature Extraction from Biological Sequences

Description

This function replaces each nucleotide in the input sequence with its electron-ion interaction value. The resulting sequence is represented by a feature vector whose length is equal to the length of the sequence. Please check the references for more information.

Usage

EIIP(seqs, outFormat = "mat", outputFileDist = "", label = c())

Arguments

seqs	is a FASTA file containing nucleotide sequences. The sequences start with '>'. Also, seqs could be a string vector. Each element of the vector is a nucleotide sequence.
outFormat	(output format) can take two values: 'mat'(matrix) and 'txt'. The default value is 'mat'.
outputFileDist	shows the path and name of the 'txt' output file.
label	is an optional parameter. It is a vector whose length is equivalent to the number of sequences. It shows the class of each entry (i.e., sequence).

Value

The output depends on the outFormat parameter which can be either 'mat' or 'txt'. If outFormat is 'mat', the function returns a feature matrix for sequences with the same length such that the number of columns is equal to the length of the sequences and the number of rows is equal to the number of sequences. If the outFormat is 'txt', the output is written to a tab-delimited file.

Note

This function is provided for sequences with the same lengths. Users can use 'txt' option in outFormat parameter for sequences with different lengths. Warning: If outFormat is set to 'mat' for sequences with different lengths, it returns an error. Also, when output format is 'txt', label information is not shown in the text file. It is noteworthy that 'txt' format is not usable for machine learning purposes if sequences have different sizes. Otherwise 'txt' format is also usable for machine learning purposes.

References

Chen, Zhen, et al. "iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data." Briefings in bioinformatics 21.3 (2020): 1047-1057.

Examples

LNCSeqsADR<-system.file("extdata/",package="ftrCOOL")
LNC50Nuc<-as.vector(read.csv(paste0(LNCSeqsADR,"/LNC50Nuc.csv"))[,2])
mat<-EIIP(seqs = LNC50Nuc,outFormat="mat")

ftrCOOL documentation built on Nov. 30, 2021, 1:07 a.m.