Cancer Complexity Toolkit Feature: dynamo-release
dynamo-release answers a hard question in single-cell cancer biology: not just what state a cell is in, but where it's headed. This open-source Python [...]
Attend the Yale Computational Methods in Cancer Research Symposium
Join us August 10–11, in person or virtually, for the fourth annual Computational Methods Symposium. This year's event, led by trainees in Dr. Corey O'Hern's [...]
🧰 CCKP Toolkit Feature: PyRadiomics
PyRadiomics addresses a core need in precision oncology: systematically extracting quantitative features from medical images. This open-source Python package pulls hundreds of radiomic features [...]
🧰 CCKP Toolkit Tool Feature: lifelines
Created and maintained by Cameron Davidson-Pilon, lifelines helps researchers answer “how long until something happens?” — whether that’s patient outcomes in cancer studies, subscriber [...]