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HEMDAG
obogaf-parser
Contribution to ezRun
Contribution to SUSHI
Machine Learning
Identifying biomarkers associated with weight loss using a Bayesian-optimized classifier
Predicting housing prices in California
Predicting biomarker status imputing missing values
Predicting protein localizations with pythorch
Predicting salary and new connections with scikit-learn
Predicting viewer engagement with scikit-learn
Genomics
Identification of breast cancer subtypes
AI tools
A RAG framework for bioinformatics applications
Data Viz
Visualization of Michigan’s temperature records
Visualization of 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
November 21, 2025
Developed software libraries
HEMDAG: a meta-learning tool for predicting novel biomedical associations from ontology data
obogaf-parser: a Perl module to parse biomedical ontology and gene association files
Contribution to open-source software libraries
Integration of nextflow pipelines in the FGCZ’s cloud platform SUSHI (ATAC-Seq and CUT&RUN)
Development of a Ruby on Rails interface for CUT&RUN data analysis
Genomics
Identification of breast cancer subtypes via a graph-based approach
Machine learning
Identifying biomarkers associated with weight loss using a Bayesian-optimized classifier
Predicting housing prices in California
Predicting biomarker status imputing missing values
Predicting salary and new connections from network data
Predicting viewer engagement with educational videos
Deep learning
Predicting protein subcellular localization from aminoacid sequences with PyTorch
AI-powered tools
Developing a RAG framework for bioinformatics applications
DataViz
Visualization of Michigan’s temperature records
Visualization of Detroit’s sports teams win percentages