AnacletoLab

grape

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

ensmallen

🍇 Ensmallen is the Rust/Python high-performance graph processing submodule of the GRAPE library.

RNA-KG

parSMURF

High Performance Computing imbalance-aware machine learning tool for the genome-wide detection of pathogenic variants

sHAM

Compact representations of convolutional neural networks via weight pruning and quantization

epigenomic_dataset

Python package wrapping ENCODE epigenomic data for a number of reference cell lines.

DataAnalysisR

A tool for statistical analysis, imputation via missForest, identification of most important variables

grape.github.io

Repository for the GraPE project website.

meta_models

Python package with common meta-models building blocks.

hemdag

an R package implementing several Hierarchical Ensemble Methods for graphs

MicroscopyImageAnalysis

Published code for immunohistochemical image segmentation and co-occurrence analysis

ParCOSNet

crr_prediction

Prediction of activation of cis-regulatory regions.

godata-pipe

a pipeline to build datasets for GO terms prediction

obogaf-parser

a perl5 module to handle obo and gaf file

parSMURF-NG