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  • Load the example

    Upload a Fasta file containing RNA sequences, in either .fasta or .fa format


    Click or drag the fasta file to this area to upload
    No file selected

    Or enter the RNA sequences with FASTA format:
    Download the sample file
    Methods for different RBP Types
  • Feature Generation:
    Delete selected
    Physicochemical Properties:
    pseudoKNC
    zigzag_coding
    PGKM
    nucleotide_tilt
    percentage_of_bases
    Gc_Quantity
    DPCP
    Feature Selection:
    Sparse learning:    
    llL21
    lsL21
    Similarity-based:   
    relief_f
    traceRatio
    fisherScore
    Statistical Based:  
    cfs
    tScore
    fScore
    chiSquare
    giniIndex
    Theoretical Info:    
    jmi
    mim
    cife
    cmim
    disr
    icap
    mifs
    mrmr
    Basic Models:
    Machine Learning Methods:
    Regression
    K-Nearest Neighbor
    Decision Tree
    GaussianNB
    Bagging
    Random Forest
    AdaBoost
    Gradient Boosting
    SVM
    LDA
    Extra Trees
  • Choose to make your results public or private:
                

    If you select `public`, your input and results will be displayed on the task list page and can be viewed by other users. Your results can be viewed at any time by entering the task list page to search. If you choose `private`, it is recommended that you choose to fill in your email address to save the link to the results page. Of course, you can also bookmark your result page, or record your jobId for query.

  • Input Your E-mail:

    The computation time depends on your submitted job and the server load. You can optionally leave your email to receive result notifications.

  • Load the example

    Upload a Fasta file containing RNA sequences, in either .fasta or .fa format


    Click or drag the fasta file to this area to upload
    No file selected

    Or enter the RNA sequences with FASTA format:
    Download the sample file
    Methods for different RBP Types
  • Feature Generation:
    Language Model Features:
      Delete the selected language model
    Physicochemical Properties:
    pseudoKNC
    zigzag_coding
    PGKM
    nucleotide_tilt
    percentage_of_bases
    Gc_Quantity
    DPCP
    Structure Features:
    RNAplfold
    Basic Models:
    Deep Learning Methods:     
    CNN
    RNN
    MLP
    ResNet
  • Choose to make your results public or private:
                

    If you select `public`, your input and results will be displayed on the task list page and can be viewed by other users. Your results can be viewed at any time by entering the task list page to search. If you choose `private`, it is recommended that you choose to fill in your email address to save the link to the results page. Of course, you can also bookmark your result page, or record your jobId for query.

  • Input Your E-mail:

    The computation time depends on your submitted job and the server load. You can optionally leave your email to receive result notifications.