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
PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!
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
Chaste - Cancer Heart And Soft Tissue Environment - main public repository.
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay
An R package for studying mutational signatures and structural variant signatures along clonal evolution in cancer.
Open-source precision oncology platform that ranks FDA-approved and repurposing drug candidates from a patient's variant profile using OncoKB, AlphaMissense, OpenTargets and ChEMBL evidence. Blinded 50-case oncologist holdout: Hit@3 0.900, zero false positives.
Cancer Predisposition Sequencing Reporter (CPSR)
cfDNAPro specializes in standardized and robust cfDNA fragmentomic analysis
Automated KFSYSCC IRB document preparation — 43 forms, 11 categories, one command. Because your time is better spent on science, not paperwork.
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.
Gently mending for breast cancer patients.
Crossmapped phenotype ontologies for the oncology domain
A unified downloader+preprocessor for cancer genomics datasets
📎 About MIMBCD-UI Project
Some accessible radiomics datas were provided in this link.
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