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1. AUC-PR
2. Acknowledgements
3. CRISPRer
4. Compute and plot Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curve
5. Create a discrete alphabet
6. DBcorrDB
7. DerTALEv2
8. Dessert: Alignments, Utils, and goodies
9. Disentangler
10. Hauptseite
11. Implementation of a homogeneous Markov model of order 0 based on AbstractModel
12. Imprint
13. InMoDe
14. InhPMM
15. Intermediate course: Optimization
16. Intermediate course: XMLParser, Parameters, and Results
17. Loading data
18. MiMB Example
19. MiRNAs
20. MotifAdjuster
21. No Access
22. PCTLearn
23. PMM
24. PMMdeNovo
25. Performing a 10-fold cross validation
26. Recipes
27. Saving and loading a model
28. Second main course: Classifiers
29. TALgetter
30. Test
31. Train classifiers using GenDisMix (a hybrid learning principle)
32. Train classifiers using MCL and MSP
33. Training a classifier and classifying new sequences
34. Using the REnvironment
35. Workshop

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