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Software Library
HEMDAG
obogaf-parser
Contribution to ezRun
Contribution to SUSHI
Machine Learning
Predicting protein localizations with pythorch
Predicting salary and new connections with scikit-learn
Predicting viewer engagement with scikit-learn
Predicting biomarker status imputing missing values
Genomics
Identification of breast cancer subtypes
AI tools
A RAG framework for bioinformatics applications
Data Viz
Visualize Michigan’s temperature records
Visualize Detroit’s sports teams win percentages
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Developed software libraries
Contribution to open-source software libraries
Genomics
Machine learning
Deep learning
AI-powered tools
DataViz
Personal Projects
Author
Marco Notaro
Published
October 6, 2025
Developed software libraries
HEMDAG: a meta-learning tool for predicting novel protein functions and novel associations between human genes and abnormal phenotype from bio-ontology data
obogaf-parser: a Perl module to parse biomedical ontology and gene association data
Contribution to open-source software libraries
Contribution to the ezRun library: integration from scratch of nextflow pipelines in the SUSHI platform (ATAC-Seq and CUT&RUN)
Contribution to the SUSHI library: developed a Ruby on Rails interface for CUT&RUN data analysis
Genomics
Identification of breast cancer subtypes via a graph-based approach
Machine learning
Predicting viewer engagement with educational videos
Predicting salary and new connections from network data
Predicting biomarker status imputing missing values
Deep learning
Predicting protein subcellular localization from aminoacid sequences with PyTorch
AI-powered tools
Developing a RAG framework for bioinformatics applications
DataViz
Visualize Michigan’s temperature records
Visualize Detroit’s sports teams win percentages