ASDC_RNA: Adaptive skip di-ribonucleotide composition) (ASDC_RNA)
In ftrCOOL: Feature Extraction from Biological Sequences

Description Usage Arguments Value References Examples

This descriptor sufficiently considers the correlation information present not only between adjacent ribo ribonucleotides but also between intervening nucleotides This function calculates frequency of pair ribonucleotides omitting gaps between them. Then this function normalizes each value through dividing each frequency by summition(frequencies).

1	ASDC_RNA(seqs, ORF = FALSE, reverseORF = TRUE, label = c())

`seqs`	is a FASTA file containing ribonucleotide sequences. The sequences start with '>'. Also, seqs could be a string vector. Each element of the vector is a ribonucleotide sequence.
`ORF`	(Open Reading Frame) is a logical parameter. If it is set to true, ORF region of each sequence is considered instead of the original sequence (i.e., 3-frame).
`reverseORF`	is a logical parameter. It is enabled only if ORF is true. If reverseORF is true, ORF region will be searched in the sequence and also in the reverse complement of the sequence (i.e., 6-frame).
`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).

The function returns a feature matrix. The number of rows is equal to the number of sequences and the number of columns is 16 (All posible ribonucleotide pairs).

Wei L, Zhou C, Chen H, Song J, Su R. ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. Bioinformatics (2018).

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ptmSeqsADR<-system.file("extdata/",package="ftrCOOL")
fileLNC<-fa.read(file=paste0(ptmSeqsADR,"/testSeq2RNA51.txt"),alphabet="rna")
mat1<-ASDC_RNA(seqs=fileLNC)