Getting Started with iLearnPlusWeb

 

Step 1. Paste sequences or upload sequence file.

 
First, paste the sequences in 'TEXTAREA' or upload the file, which include the sequences. The sequences must be in 'special FASTA' format. iLearnPlus Web server was designed to accept at most 2000 sequence at once.
The FASTA header consists of three parts: part 1, part 2 and part 3, which are separated by the symbol ‘|’. Part 1 is the sequence name. Part 2 is the sample category information, which can be filled with any integer. Usually, users enter 1 to identify the positive samples, and -1 or 0 to represent the negative samples for a binary classification task. Alternatively, they may use 0, 1, 2, … to represent the different classes in multiclass classification tasks. Part 3 indicates the role of the sample, where e.g. “training” would indicate the corresponding sequence would be used as the training set for K-fold validation test and “testing” would imply the sequence would be used as the independent set for independent testing.
 

Step 2. Select the descriptor type.

 
Selcect the descriptor type from the list.
 

Step 3. Select the output format.

 
Four output format (i.e. tab/tsv/tsv_1, svm, csv and weka) are supported by iLearnPlus. Note: tsv_1 (i.e. Tab format 1) is the tsv format with sample and feature labels.
 

Step 4. Select clustering method (optimal).

 
Ten types clustering methods are supported by iLearnPlus.
 

Step 5. Select feature normalization method (optimal).

 
Two feature normalization method are supported by iLearnPlus.
 

Step 6. Select feature selection method (optimal).

 
Five feature selection methods are supported by iLearnPlus.
 

Step 7. Select dimension reduction method (optimal).

 
Three dimension reduction methods are supported by iLearnPlus.
 

Step 8. Select predictor construction algorithm (optimal).

 
Five machine learning algorithms are supported by iLearnPlus.
 

Step 9. Result.

After a few minutes, the result will be generated and displayed in the result table. The prediction result can be downloaded by click the "Download" button.




 
 

Step 10. Query your result.

You can also query your prediction result in the job list page or input you job ID in the query form. The result will be stored in our Website for a month!
 
Backend computation is powered by our iLearnPlus package.