PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

Chaste - Cancer Heart And Soft Tissue Environment - main public repository.

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

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

Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay

🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html

An R package for studying mutational signatures and structural variant signatures along clonal evolution in cancer.

This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.

The HTAN Data Portal

Cancer Predisposition Sequencing Reporter (CPSR)

cfDNAPro specializes in standardized and robust cfDNA fragmentomic analysis

Exploration of the risks of cervical cancer dataset, using supervised & unsupervised machine learning techniques to predict cervical cancer cases resulting in biopsies.

A unified downloader+preprocessor for cancer genomics datasets

Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.

Common biochemical and topological attributes of metabolic genes recurrently dysregulated in tumors.

Classifying Breast Cancer Molecular Subtypes

Bioconductor R-package: Curated Prostate Cancer Data

📎 About MIMBCD-UI Project

CanDI - A global cancer data integrator