| GRAPE |
Rust/Python Graph Representation Learning library for Prediction and Evaluation |
| parSMURF |
A High-performance Computing tool to detect pathogenic variants in the human genome |
| HyperSMURF |
Machine learning supervised method to learn rare pathogenic variants in imbalanced genomic data sets |
| HEMDAG |
An R software library implementing Hierarchical Ensemble Methods (HEMs) for Directed Acyclic Graphs |
| obogaf::parser |
A perl5 module to handle obo and gaf file |
| COSNet |
Neural network algorithm for semi-supervised node label learning from unbalanced data |
| UNIPred |
Unbalance-aware Network Integration and Prediction of protein functions |
| HCGene |
R package to support the hierarchical classification of genes |
| Clusterv |
R package for cluster validation |
| Mosclust |
R package for the discovery of significant structures in bio-molecular data |
| NEURObjects |
Set of C++ library classes for neural networks development |
| PerfMeas |
R package implementing different performance measure for classification and ranking tasks |
| NetPreProc |
R package that implements preprocessing and normalization methods for network-structured data |
| Bionetdata |
R data package that includes several examples of chemical and biological data networks |
AnacletoLAB