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Acknowledgements	Code examples	Compute and plot Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curve
Cookbook	Cookbook – Starter: Data handling	Create a discrete alphabet
DSHMM	Dessert: Alignments, Utils, and goodies	Dispom
Downloads	Dream5	FAQs
First main course: SequenceScores	FlowCap	FlowCap/
GenDisMix	Getting started	Hauptseite
Implementation of a homogeneous Markov model of order 0 based on AbstractModel	Imprint	Intermediate course: Optimization
Intermediate course: XMLParser, Parameters, and Results	Loading data	Main Page
MeDIP-HMM	MiMB	MiMB Example
MiRNAs	MotifAdjuster	No Access
PHHMM	Performing a 10-fold cross validation	Prior
Projects	Quick start: Jstacs in a nutshell	Recent changes
Recipes	SHMM	Saving and loading a model
Second main course: Classifiers	Starter: Data handling	Test
Train classifiers using GenDisMix (a hybrid learning principle)	Train classifiers using MCL and MSP	Training a classifier and classifying new sequences
Using the REnvironment	Workshop