GliozzoJ
Research Fellow @ Dept. of Computer Science, University of Milan
UniversitĂ degli Studi di MilanoMilan
Pinned Repositories
AdventOfCode2018
Solutions for challenge Advent of Code 2018
Bioinformatics_practice2023
This repository contains the material for the practical part of the course Bioinformatics 2023 (Department of Computer Science, University of Milan).
Bioinformatics_practice_2023-2024
This repository contains the material for the practical part of the course Bioinformatics 2023-2024 (Department of Computer Science, University of Milan).
GliozzoJ.github.io
:ramen: Minimalist Jekyll Template, dark and light themes
mclustcomp
Measures for Comparing Clusters
missSNF
Multi-Omics-Cancer-Benchmark
Fork of benchmark for personal project.
P-Net
R software library implementing the P-Net algorithm
PathoNet
pathonet_compression
This repository contains the code to compress the PathoNet model using different quantization methods (i.e. CWS, PWS, ECSQ, UQ) and the Index Map storage format.
GliozzoJ's Repositories
GliozzoJ/P-Net
R software library implementing the P-Net algorithm
GliozzoJ/Bioinformatics_practice_2023-2024
This repository contains the material for the practical part of the course Bioinformatics 2023-2024 (Department of Computer Science, University of Milan).
GliozzoJ/missSNF
GliozzoJ/Bioinformatics_practice2023
This repository contains the material for the practical part of the course Bioinformatics 2023 (Department of Computer Science, University of Milan).
GliozzoJ/pathonet_compression
This repository contains the code to compress the PathoNet model using different quantization methods (i.e. CWS, PWS, ECSQ, UQ) and the Index Map storage format.
GliozzoJ/AdventOfCode2018
Solutions for challenge Advent of Code 2018
GliozzoJ/GliozzoJ.github.io
:ramen: Minimalist Jekyll Template, dark and light themes
GliozzoJ/mclustcomp
Measures for Comparing Clusters
GliozzoJ/Multi-Omics-Cancer-Benchmark
Fork of benchmark for personal project.
GliozzoJ/PathoNet
GliozzoJ/supplementary_DR_thesis
Supplementary material for PhD thesis - chapter 3 "Feature selection guided by intrinsic dimensionality on omics data"