Hierarchical Clustering with an Ensemble of Principle Component Trees for Interpretable Patient Stratification

Calibrated kNN Classification via Second-Layer Neighborhood Analysis

Explaining and visualizing black-box models through counterfactual paths

Post-hoc Regularization of Tree Ensembles

Introgression Simulation using ms and seq-gen

An Efficient Swiss Army Knife for Population Genomic Analyses in R

Disease subnetwork detection with explainable Graph Neural Networks

Multi-view hierarchical clustering in R

Unsupervised Random Forest-based Clustering

Effective signal reconstruction from multiple ranked lists via convex optimization

Federated Ensemble-GNN for Feature Cloud

Ensemble learning with graph neural networks for disease module discovery and classification

Network-guided greedy decision forest for feature subset selection

Inference, Aggregation and Visualization for Top-K Ranked Lists

C/C++ toolset for R

High-speed access to whole-genome variation and sequence data in R

Bayesian calculation of region-specific FST to detect local adaptation

Genome scans for selection and introgression based on k‐nearest neighbour techniques.