PredCRG (version 1.0.2)

PredCRG: Prediction of circadian proteins using the proposed PredCRG model.

Description

The user can predict the protein sequences as CRG (circadian protein) or non-CRG (non-circadian protein) with certain probability by supplying the test sequences.

Usage

PredCRG(seq_data)

Arguments

seq_data

Sequence dataset in FASTA format consisting of protein sequences with standard amino acid residues only. It must be an object of class AAStringSet which can be obtained by reading sequences with readAAStringSet available in Biostrings package.

Value

A dataframe with three columns consisting of sequence name, predicted labels of sequences (CRG or non-CRG) and probabilities of prediction.

Details

The user has to supply only the seq_data for which the prediction is to be made.

See Also

PredCRG_Enc, PredCRG_training,model1, model2,model3,model4

Examples

# NOT RUN {
data(test)
tst <- test[1:10]
PredCRG(seq_data=tst)
# }