Overview

  Multi-feature Relatedness (MFR) model is a machine learning model based on SVM and takes a total of 12 similarity-based gene pair features including both expression similarities and prior-knowledge based similarities as the input. And the output value is applied as an assessment criterion, namely “Multi-Feature Relatedness”, for measuring the relatedness between a pair of genes under given certain conditions (see Figure 1).

From this website, you can:

• View the description of MFR model

• Download the script of MFR model freely for academic uses.

• Explore the results for further verification and biological analysis.