vittoriofortino84
Code repository of the Biomedical Informatics research group. Group members: Alireza Zourmand, Luca Cattelani, Teemu Rintala, Arindam Ghosh.
University of Eastern FinlandKuopio
Pinned Repositories
amiss
BACA
CBM101
Introduction to Computational Biomedicine and Machine Learning
CONDOP
R package to build condition-dependent operon maps
Data-Vignettes
Data and vignettes for the available R packages (ThETA, COPS, etc.)
EDC_shiny
R shiny application for the EDTOX project
EDTOX
A toxicogenomics data space for system-level understanding and prediction of EDC-induced toxicity
EfficacySafetyDrugTargets
Code repository for the article "Prioritizing target-disease associations with novel safety and efficacy scoring methods"
fortino-lab
Machine learning exercises in Python
OnlineLearningForBD
Feature drift detection methods for biomarker discovery
vittoriofortino84's Repositories
vittoriofortino84/EDTOX
A toxicogenomics data space for system-level understanding and prediction of EDC-induced toxicity
vittoriofortino84/OnlineLearningForBD
Feature drift detection methods for biomarker discovery
vittoriofortino84/amiss
vittoriofortino84/BACA
vittoriofortino84/CBM101
Introduction to Computational Biomedicine and Machine Learning
vittoriofortino84/CONDOP
R package to build condition-dependent operon maps
vittoriofortino84/Data-Vignettes
Data and vignettes for the available R packages (ThETA, COPS, etc.)
vittoriofortino84/EDC_shiny
R shiny application for the EDTOX project
vittoriofortino84/EfficacySafetyDrugTargets
Code repository for the article "Prioritizing target-disease associations with novel safety and efficacy scoring methods"
vittoriofortino84/fortino-lab
Machine learning exercises in Python
vittoriofortino84/GARBO
GARBO, a novel multi-island adaptive Genetic AlgoRithm for biomarker selection in high-dimensional Omics data.
vittoriofortino84/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.