Examples Gallery

This gallery contains examples demonstrating TanaT’s capabilities for temporal sequence analysis. Each example focuses on a specific feature or use case, providing practical code that you can adapt for your own projects.

Data Containers

Learn how to work with TanaT’s core data structures.

Sequences
Create, manipulate and analyze temporal sequences.

Trajectories
Work with multi-sequence trajectories for complex data.

Criteria and Filtering

Examples of filtering and selecting data based on various criteria.

Query Criterion
Filter sequences and trajectories using queries.

Static Criterion
Apply criterion based on static features of individuals.

Temporal Criterion
Filter data based on temporal patterns and time ranges.

Pattern Criterion
Select sequences based on specific temporal patterns.

Length Criterion
Filter sequences by their length.

Rank Criterion
Filter entities based on their rank or position.

Distance Metrics

Learn about different distance metrics for measuring similarity between temporal data.

Entity Metrics

Distance metrics for individual entities.

Hamming Distance
Calculate Hamming distance between entities.

Custom Entity Metric
Create your own custom metric for entity comparison.

Sequence Metrics

Distance metrics specifically designed for temporal sequences.

Dynamic Time Warping
Compute DTW distance between temporal sequences.

Edit Distance
Calculate edit distance for sequence comparison.

Common Prefix (LCP)
Measure similarity using longest common prefix.

Common Subsequence
Distance from longest common subsequence.

Linear Pairwise
Efficient linear pairwise distance computation.

Soft DTW
Differentiable version of DTW.

Chi2 Sequence Metric
Compute Chi-squared distance between sequences.

Custom Sequence Metric
Create your own custom sequence metric.

Trajectory Metrics

Distance metrics for multi-sequence trajectories.

Aggregation Metric
Aggregates sequence metrics for trajectory comparison.

Custom Trajectory Metric
Create your own custom metric for trajectory analysis.

Clustering

Examples of clustering algorithms applied directly to TanaT data containers.

Hierarchical clustering
Perform hierarchical clustering on temporal data.

PAM clustering
Perform PAM clustering on temporal data.

CLARA clustering
Perform CLARA clustering on temporal data.

Visualizations

Explore various visualization techniques for temporal sequences and trajectories.

Sequence visualizations

Visualizations for individual sequences or entire sequence pools.

Timeline
Visualize sequences as time-aligned timelines.

Histogram
Aggregate sequence values into time-based histograms.

Distribution
Show state proportions over time.

Trajectory visualizations

Work in progress.

Survival Analysis

Learn how to perform survival analysis directly from TanaT data containers.

Cox model
Predict survival probabilities using a Cox model.

Tree model
Predict survival probabilities with a tree-based model.