LGEpred
Correlation Analysis and Prediction of Genes Expression from Amino Acid Sequence of Proteins
Prediction From Model: This allow user to predict expression of genes from amino acid sequences using SVM model build using LGEpred's options "Training and Prediction of Gene Expression" or "Evaluation and Prediction". You may restrict the genes to be used for training by selcting length and expression filter. For detail see help and algorithm section.

Example Submission

(You may format your data/files similar to these example files/data) 
Sequence of genes to be predicted: Protein Sequence of Unknown Genes  
SVM model to be used for prediction: SVM model generated previously from training set  
Click Results  to see results obtained using these files at 
default parameters.



    

Submit your Data for Correlation Analysis





Target/name of Slide (optional): 
Sequence of genes to be predicted:  
(Protein sequence of genes to be predicted in FASTA format)
SVM model to be used for prediction:   

(SVM model generated from training dataset using "training+prediction" or "Prediction+Evaluation" option of this server)