I have created a model with SVM classifier and evaluated it with 5-fold cross-validation. The dataset was sequence data containing lysine modified sites. Now I want to build a web server where anyone can input any sequence in FASTA format. Apparently, I have no label information at this point. So how can I will be able to extract features or use any feature selection method which requires label information? How can I extract or create the test set to predict? Suppose I have used f-score feature selection method in my model and selected 50 features from the given dataset. But for web server, having no label information, how can I select 50 features from the sequence that are provided by an user and then test it with my previously trained model?
As being a novice in the world of bioinformatics, I am seeking the answer which might be improper for others. But it will be very much helpful for me. I am giving some link of some papers and its corresponding web servers.
iPTM-mLys: identifying multiple lysine PTM sites and their different type (https://academic.oup.com/bioinformatics/article/32/20/3116/2196525)
Web server link : http://www.jci-bioinfo.cn/iPTM-mLys
iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190098/)
Web server link : http://www.jci-bioinfo.cn/iHyd-PseCp