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data [2014/08/10 20:33]
ychen [DANN data]
data [2014/08/10 20:57] (current)
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), and the python package [[https://​github.com/​mblondel/​svmlight-loader|svmlight-loader]]. We partition the dataset into +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: 
  
  
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