AI-based pathology predicts origins for cancers of unknown primary - Nature

A unified downloader+preprocessor for cancer genomics datasets

Some accessible radiomics datas were provided in this link.

Data analysis scripts for Rendeiro et. al, 2016 (doi:10.1038/ncomms11938)

Classifying Breast Cancer Molecular Subtypes

DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling

An automated lung cancer detection project.

An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)

More detailed growth models using inference.

Using Deep Learning to enhance cancer treatment. Project presented at the 2018 Startupfest hackathon.

Building a machine learning project named Breast Cancer Classification using Python 3.6, IPython Notebook and Python Virtual Environment

Identification of cancer-causing variants

A dashboard for exploring research results

A Markov Decision Process with large number of states and its solvers (value iteration, policy iteration and Q-learning)

A machine-learning model that uses a convolutional neural network to classify lung tumors in CT scans, which will help detect lung tumors that might have went unnoticed

Glioblasted is a machine learning model to assist in the detection of glioblastoma multiforme, a high-grade, aggressive form of central nervous system cancer.

Deep learning model to distinguish cancer-associated T cell receptors from non-cancer ones

Repository for Cancer Disease Response Inference

Mutation Detection in Lung Cancer Cell Lines using CNNs

CLI tool and Python library for creating swimmer plots