SeqUnwinder results (simulateOverlap_sequnwinder_05092017)
SeqUnwinder version 0.1.2 run completed on: 2017/05/09 18:44:29 with arguments:
--out simulateOverlap_sequnwinder_05092017 --threads 10 --debug --memepath /Users/akshaykakumanu/Softwares/src/bin/bin/ --geninfo mm10.info --seq /Users/akshaykakumanu/genome/mm10.fa --genseqs simulateOverlap.seqs --win 150 --mink 4 --maxk 5 --r 10 --x 3 --maxscanlen 15
Error on training data
Class |
TP Rate |
FP Rate |
Precision |
Recall |
F-Measure |
MCC |
ROC Area |
PRC Area |
X#B
| 0.725 |
0.067 |
0.683 |
0.725 |
0.704 |
0.643 |
0.935 |
0.736 |
Y#A
| 0.628 |
0.063 |
0.665 |
0.628 |
0.646 |
0.578 |
0.911 |
0.712 |
X#A
| 0.645 |
0.074 |
0.637 |
0.645 |
0.641 |
0.568 |
0.906 |
0.718 |
Y#C
| 0.673 |
0.055 |
0.708 |
0.673 |
0.69 |
0.63 |
0.911 |
0.757 |
X#C
| 0.746 |
0.05 |
0.749 |
0.746 |
0.748 |
0.697 |
0.951 |
0.803 |
Y#B
| 0.626 |
0.082 |
0.604 |
0.626 |
0.615 |
0.536 |
0.896 |
0.678 |
Stratified cross-validation
Class |
TP Rate |
FP Rate |
Precision |
Recall |
F-Measure |
MCC |
ROC Area |
PRC Area |
X#B |
0.378 |
0.083 |
0.475 |
0.378 |
0.421 |
0.324 |
0.801 |
0.442 |
Y#A |
0.499 |
0.075 |
0.572 |
0.499 |
0.533 |
0.448 |
0.846 |
0.579 |
X#A |
0.609 |
0.118 |
0.509 |
0.609 |
0.555 |
0.459 |
0.862 |
0.575 |
Y#C |
0.635 |
0.085 |
0.598 |
0.635 |
0.616 |
0.536 |
0.88 |
0.647 |
X#C |
0.497 |
0.076 |
0.568 |
0.497 |
0.53 |
0.445 |
0.857 |
0.578 |
Y#B |
0.583 |
0.123 |
0.487 |
0.583 |
0.531 |
0.429 |
0.857 |
0.551 |
Weighted K-mer models.
De novo motifs
Label specific scores of de novo motifs
Extended version |
Compact version |
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Discriminative motifs. Try inputting these motifs into STAMP for validation.