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data [2014/08/10 20:25] ychen [DANN data] |
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The raw data can be found here [[http://krishna.gs.washington.edu/martin/download/cadd_training/]]. The real SNV, insertion and deletion samples sum up to 16,627,775. We randomly sample equal number of simutation samples (SNV, insertion and deletion), combine with the real data, and get a dataset of 33,255,550 samples. | The raw data can be found here [[http://krishna.gs.washington.edu/martin/download/cadd_training/]]. The real SNV, insertion and deletion samples sum up to 16,627,775. We randomly sample equal number of simutation samples (SNV, insertion and deletion), combine with the real data, and get a dataset of 33,255,550 samples. | ||
- | This dataset is transormed into svmlight format with script impute2svmlight.py, which is provided by Dr. Martin Kircher (the author of CADD paper). Note that to do this, the python package svmlight-loader is needed | + | This dataset is transormed into svmlight format with script impute2svmlight.py, which is provided by Dr. Martin Kircher (the author of CADD paper), and the python package [[https://github.com/mblondel/svmlight-loader|svmlight-loader]]. We roughly partition the dataset into 80% for training, 10% for validation and 10% for testing. Their svmlight files are here: |