Oncology Python Packages

kaiko-eva

Evaluation framework for oncology foundation models (FMs)

scmalignantfinder

scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.

deepspotm

Multimodal foundation model predicting transcriptome-wide virtual spatial transcriptomics from histology.

honeybee-ml

🐝 | From Data to Prognosis: Embedding Multimodal Oncology Data for Precision Medicine

med-minds

🧠 | Multimodal Integration of Oncology Data System

oncothresh

Clinical threshold evaluation for oncology AI models

oncomark

A deep learning tool designed to predict Cancer Hallmark activities from tumor biopsy samples.

stratcp

Act or Defer: Error-Controlled Decision Policies for Medical Foundation Models

oncodatasets

The oncodatasets package provides a curated collection of oncological, clinical trial, and cancer survival datasets for data analysis, statistical modeling, and machine learning research.