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mirensemble.jar (6.3 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| data | 2016-09-09 | ||
| mirensemble.jar | 2016-09-09 | 6.3 MB | |
| weka.jar | 2016-09-09 | 6.3 MB | |
| README.txt | 2016-09-09 | 1.3 kB | |
| TestClass.java | 2016-09-09 | 1.7 kB | |
| Analysis.java | 2016-09-09 | 8.6 kB | |
| Data.java | 2016-09-09 | 2.8 kB | |
| Totals: 7 Items | 12.6 MB | 0 |
README FILE(Initialize version for review) Implementation of the ensemble method for cancer classification with microRNA expression profiles This software is provided free of charge to the research community as an academic software package. ------------------------------------------------------------------------------ Using .jar to run the program ------------------------------------------------------------------------------ Usage java -jar mirensemble.jar <input_file_path> <relevance_threshold> <type_of_classifier> <number_of_base_classifier> Example: java -jar mirensemble.jar miGCM.arff S 0 20 Options: <input_file_path>: the path to the input file including the file name. (i.e., /home/Users/Desktop/miGCM.arff) <relevance_threshold>: the relevance threshold of cutting irrelevant miRNAs [should be a floating number ranges from 0 to 1]. <type_of_classifier>: C [C4.5] or S [SVM]. <number_of_base_classifiers>: integer value [20 recommended] Input data type: Now, our software just accept one kind of input files (.arff format) ------------------------------------------------------------------------------ Using source code to run the program ------------------------------------------------------------------------------ pre-requirements: weka.jar library should be included in the library path. Run TestClass.java file.
