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CYC2008_Complex_dataset 2019-05-18
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CompEvaluator_V2.jar 2019-05-18 272.7 kB
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CompEvaluator.jar 2018-09-28 249.5 kB
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Example_Benchmark_Complexes.txt 2017-09-20 168 Bytes
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README.txt 2017-09-20 2.0 kB
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Example_Predicted_Clusters.txt 2017-09-20 160 Bytes
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Totals: 7 Items   524.5 kB 0 
*********************************************************************************************************************************************
-------------------------------------------------------------------------- CompEvaluator -------------------------------------------------------------------------------
*********************************************************************************************************************************************

DESCRIPTION:
-----------------
CompEvaluator is an open source software that computes 12 performance assessment measures to evaluate a protein complex prediction method against a benchmark protein complexes.

The 12 performance assessment measures include:
	Precision, Recall(Sensitivity1), F1-Measure
	Sensitivity2, PPV, Geometric Accuracy
	HM_CL, HM_CO, Homogeneity
	Jaccard_CL, Jaccard_CO, Jaccard_Fmeasure

	  
INTERFACES   :     GUI

DEPENDENCIES :     JDK 8.0


Input & Output Files
--------------------------
      
Input:
         This program accepts a text file as input data with the following format:
         "Complex_id;Complex_name;subunits__UniProt_IDs"

Output:
          The output is a text file contains the result of the 12 performance assessment measures.	




How to execute CompEvaluator 
--------------------------------------

You should do the following steps:

	1- Put benchmark complex data set into software folder
	   (Note that data set should be in this format : Complex_id; Complex_name; subunits__UniProt_IDs )
	2- Insert prediction clusters data set into software
	   (Note that data set should be in this format : Complex_id;Complex_name;subunits__UniProt_IDs )
	3- Click "Start" button to compute the selected measures this options 
	 
	4- Click "Save result" to store the results.
	
Copyright 2017 - Laboratory of Database Reaserch Groups ( DBRG ), University of Tehran, Tehran, IRAN.
All right Reserved.   
Enjoy!
Source: README.txt, updated 2017-09-20