Software & Datasets
- From Mathios et al., Cancer Discovery (2025) [ Article, code ]
- Mathios et al. 2025: https://ega-archive.org/studies/EGAS50000000986
- Foda et al. 2023: https://ega-archive.org/studies/EGAS00001007249
- From Noe et al., Nature Communications (2024) [ Article, code ]
- Mathios et al. 2021: https://ega-archive.org/studies/EGAS00001005340
- Cristiano et al. 2019: https://ega-archive.org/studies/EGAS00001003611
- From Annapragada et al., Science Translational Medicine (2024) [ Article, code ]
- Bruhm et al. 2023: https://ega-archive.org/studies/EGAS00001007248
- Foda et al. 2023: https://ega-archive.org/studies/EGAS00001007249
- Mathios et al. 2021: https://ega-archive.org/studies/EGAS00001005340
- Cristiano et al. 2019: https://ega-archive.org/studies/EGAS00001003611
- From Bruhm et al., Nature Genetics (2023) [ Article, code ]
- Bruhm et al. 2023: https://ega-archive.org/studies/EGAS00001007248
- Foda et al. 2023: https://ega-archive.org/studies/EGAS00001007249
- Mathios et al. 2021: https://ega-archive.org/studies/EGAS00001005340
- From Foda et al., Cancer Discovery (2023) [ Article, code ]
- Foda et al. 2023: https://ega-archive.org/studies/EGAS00001007249
- From Mathios et al., Nature Communications (2021) [ Article, code ]
- Mathios et al. 2021: https://ega-archive.org/studies/EGAS00001005340
- From Cristiano et al., Nature (2019) [ Article, code ]
- Cristiano et al. 2019: https://ega-archive.org/studies/EGAS00001003611