Long pages
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Showing below up to 65 results in range #1 to #65.
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- (hist) GeMoMa-Docs [110,902 bytes]
- (hist) First main course: SequenceScores [52,293 bytes]
- (hist) Recipes [38,326 bytes]
- (hist) Catchitt [37,475 bytes]
- (hist) GeMoMa [36,209 bytes]
- (hist) Starter: Data handling [31,641 bytes]
- (hist) MeDeMo [28,330 bytes]
- (hist) Intermediate course: XMLParser, Parameters, and Results [23,280 bytes]
- (hist) Version history [23,207 bytes]
- (hist) EpiTALE [22,903 bytes]
- (hist) AnnoTALE [18,898 bytes]
- (hist) Second main course: Classifiers [17,778 bytes]
- (hist) PrediTALE [14,807 bytes]
- (hist) Dimont [14,126 bytes]
- (hist) MiMB Example [13,352 bytes]
- (hist) Dispom [12,820 bytes]
- (hist) Slim [12,512 bytes]
- (hist) FAQs [11,529 bytes]
- (hist) PMMdeNovo [10,832 bytes]
- (hist) Dessert: Alignments, Utils, and goodies [10,436 bytes]
- (hist) Cookbook [9,123 bytes]
- (hist) Downloads [8,330 bytes]
- (hist) TALENoffer [7,698 bytes]
- (hist) Main Page [7,664 bytes]
- (hist) TALgetter [7,546 bytes]
- (hist) Workshop [6,473 bytes]
- (hist) Quick start: Jstacs in a nutshell [6,461 bytes]
- (hist) FlowCap [6,403 bytes]
- (hist) Intermediate course: Optimization [5,710 bytes]
- (hist) CRISPRer [5,295 bytes]
- (hist) Disentangler [5,182 bytes]
- (hist) Dream5 [4,383 bytes]
- (hist) Implementation of a homogeneous Markov model of order 0 based on AbstractModel [4,356 bytes]
- (hist) ARHMM [4,232 bytes]
- (hist) PCTLearn [4,094 bytes]
- (hist) Performing a 10-fold cross validation [3,972 bytes]
- (hist) GenDisMix [3,888 bytes]
- (hist) InMoDe [3,392 bytes]
- (hist) MeDIP-HMM [3,223 bytes]
- (hist) Getting started [3,125 bytes]
- (hist) MotifAdjuster [3,020 bytes]
- (hist) Prior [2,969 bytes]
- (hist) SHMM [2,692 bytes]
- (hist) PHHMM [2,689 bytes]
- (hist) Projects [2,621 bytes]
- (hist) InhPMM [2,599 bytes]
- (hist) DSHMM [2,562 bytes]
- (hist) MiMB [2,336 bytes]
- (hist) MiRNAs [2,248 bytes]
- (hist) Train classifiers using GenDisMix (a hybrid learning principle) [2,122 bytes]
- (hist) Train classifiers using MCL and MSP [1,577 bytes]
- (hist) Saving and loading a model [1,377 bytes]
- (hist) AUC-PR [1,305 bytes]
- (hist) Training a classifier and classifying new sequences [1,248 bytes]
- (hist) Loading data [1,245 bytes]
- (hist) Using the REnvironment [1,095 bytes]
- (hist) Acknowledgements [1,033 bytes]
- (hist) Create a discrete alphabet [899 bytes]
- (hist) Compute and plot Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curve [827 bytes]
- (hist) DBcorrDB [825 bytes]
- (hist) Imprint [577 bytes]
- (hist) Hauptseite [459 bytes]
- (hist) No Access [38 bytes]
- (hist) Test [23 bytes]
- (hist) PMM [3 bytes]