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data [2014/08/10 20:30] ychen |
data [2014/08/10 20:33] 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 [[https://github.com/mblondel/svmlight-loader|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 partition the dataset into |