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author | elavington <27739361+elavington@users.noreply.github.com> | 2017-08-31 13:22:32 -0400 |
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committer | GitHub <noreply@github.com> | 2017-08-31 13:22:32 -0400 |
commit | e387bd409e271a149692d45a952e6475f3b706be (patch) | |
tree | d5bce0ee6161ae8f877b1c7e7c2ba7e840d34bd0 | |
parent | c5a53342b9be73b7ff11a44e22cfc39eb7af551c (diff) | |
download | cressdna-e387bd409e271a149692d45a952e6475f3b706be.tar.gz cressdna-e387bd409e271a149692d45a952e6475f3b706be.zip |
Create README.md
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-rw-r--r-- | README.md | 11 |
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diff --git a/README.md b/README.md new file mode 100644 index 0000000..11336e4 --- /dev/null +++ b/README.md @@ -0,0 +1,11 @@ +# cressdna +Circular Eukaryotic Single Stranded DNA site source + +index.html is the main web page +classifier.py is a python script that takes the submitted textarea form from index.html (needs to be FASTA format input) and makes a prediction + of the CRESS virus genus for each sample, given the caveats listed on the submission form page + + This script is meant to output a new index.html type page with the results of the prediction as an HTML table in the Results tab + +SVM_linear_aa_clf.pkl is a compressed trained SVM classifier for prediction +UniqRepsGemys_6089_StSCALER.pkl is a compressed trained scaler to fit input data to the same scale as the trained data |