SoybeanTFtarget

SoyTFtarget

An Integrated Database for Predicting Transcription Factor and Target Gene Regulatory Relationships.

HOME PREDICTION NETWORK BROWSE BLAST DOWNLOAD HELP

Prediction

Note

step one:

Please enter the TF id that you want to predict the target gene, or the target gene id.

e.g. Glyma.13G236500 Glyma.11G053600 Glyma.07G058400

step two:

Please select the analysis direction of the TF.

Downstream target gene prediction of TF (TF-target)

Upstream interacting protein prediction of TF (TF-TF)

Upstream TF binding prediction of the target gene (TF-target)

step three:

Please select the prediction method you want to use.

Coexpression analysis(Pearson correlation coefficient)

Promoter prediction + Machine learning model prediction

Both

step four:

Please select prediction parameters.

Co-expression PCC cutoff:

Co-expression Pvalue cutoff:

Co-expression Correlation:

Both Positive (+) Negative (-)

Machine Learning Prediction Model:

Famliy model

Global model

Global model training performance is 0.918.

Machine Learning Prediction Probability (AUC):

Crop Bioinformatics Group, College of Agriculture, NanJing Agricultural University
Contact us at huangji@njau.edu.cn (Ji Huang) or 2022201015@stu.njau.edu.cn (Xueai Zhu)