Description Usage Arguments Details Value Author(s) See Also Examples
Before using the protein sequences for prediction using the proposed model, the sequences must be transformed into numeric feature vectors. The function PredCRG_Enc
will transform each protein sequnces to a numeric vector of 62 observations, based on the compositional, physico-chemical and transitional features used in the PredCRG
model.
1 | PredCRG_Enc(prot_seq)
|
prot_seq |
Sequence dataset to be supplied as input, must be an object of class |
The dataset must contains the protein sequences having standard amino acid residues only. The clas AAStringSet
can be obtained by reading the FASTA file using readAAStringSet
available in bioconductor package Biostrings
.
A matrix of dimension n*62, for n number of sequences.
Prabina Kumar Meher, ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, INDIA
PredCRG, PredCRG_training, model1, model2,model3,model4
1 2 3 4 | data(test)
enc <- PredCRG_Enc(test)#encoding of test sequence data
enc[1:5,1:5]
|
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