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https://github.com/biocomputingup/cagi-pcm1-assessment

https://github.com/biocomputingup/cagi-pcm1-assessment

Science Score: 13.0%

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  • Host: GitHub
  • Owner: BioComputingUP
  • Language: R
  • Default Branch: master
  • Size: 9.77 KB
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Created over 7 years ago · Last pushed over 7 years ago
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README.md

##### Scripts for CAGI 5 PCM1 challenge assessment

REQUIREMENTS

```

R:

install.packages('ROCR') install.packages('plotrix') install.packages('ggthemes') install.packages('ggplot2') ```

USAGE

to run all analyses, you have just to run the following command: Rscript ./src/CAGIassessmentmain.R This script will check submission format, computes all statistics and makes plots This script expects a folder structure like this to run: ./src <- contains all scripts ./results <- will contain all performance tables and plots ./data <- has to contain 3 folders: experimental_value, submissions, template 

  These are Input needed:
        # experimental values file  in ./data/experimental_value
        # submission template in ./data/template
        # submission files in ./data/submissions

  Running the script these Output files will be generated in ./results
       # confusion matrix of each submission
       # heatmap of Correlation among submissions (MO or MO+WT p value)
       # heatmap containing all performance indices (BACC, MCC, F1, TPR, TNR)
       # plot with percentage of correct predictions for each variant
       # scatterplot with all submissions p value and SD (MO or MO+WT p value)
       # plots of the distribution of BACC/F1/MCC values of random predictions
       # table containing all performance indices (BACC, MCC, F1, TPR, TNR)
       # table containing prediction rank for all performance indices (BACC, MCC, F1, TPR, TNR)
       # table with performance index and rank
       # table with one confusion matrix for each submission

Owner

  • Name: BioComputing Group, University of Padova
  • Login: BioComputingUP
  • Kind: organization
  • Email: biocomp@bio.unipd.it
  • Location: Italy

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