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

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

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

🌲 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

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

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

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

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

Cancer Predisposition Sequencing Reporter (CPSR)

Cancer Whitepaper

cfDNAPro specializes in standardized and robust cfDNA fragmentomic analysis

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.

A unified downloader+preprocessor for cancer genomics datasets

📎 About MIDA Project

Anticancer Peptide Identification employing Multi-headed Deep-CNN

📎 About MIMBCD-UI Project

Discovering de novo shared transcriptional programs in single cancer cells

Some accessible radiomics datas were provided in this link.

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

Bioconductor R-package: Curated Prostate Cancer Data