RNA Home Aalberts' Lab

Reals: (default: YB donor reals)
Decoys: (default: YB donor decoys)
Auto-validate: (if checked, use same training data to test model; else, cross-validate)
strict PSR (no smoothing, w'=w''=0)
PSR' w':
PSR'' w': w'':
Percent: (percent reduction from using 100 percent of training data)
ROCarea: (reports the area under a Receiver Operating Characteristic curve)
 

To process YB data sets (12623 reals, 269155 falses) takes about 6 sec (PSR), 10 sec (PSR'), 60 sec (PSR'')
A few technical details about our PSR server:
1. Currently, only 7 letter DNA sequences (a,c,g,t) are permitted.
2. The method currently defaults to use the Yeo and Burge real and decoy data sets for human pre-mRNA donor splice sites. (The YB files list the last three bases of the exon and the first four bases of the intron after the conserved GT sequence which is omitted; for example, aagattg is really aagGTattg.)
3. When cross-validating, one-third of the total input data is randomly selected and reserved for testing; the remaining data can be used for training. We have found that it is interesting to study how the performance of the method scales with training data set size --- this reveals whether the method's performance has saturated --- so we allow the user to specify a percentage (0 to 100 percent) of the data to be used for training.
4. The performance measure the program reports is the optimal binary Pearson correlation coefficient between prediction and reality:
,
or the area under a Reciever Operating Characteristic curve (ROC is the True Positive Rate as a function of False Positive Rate).