This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
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
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.
El objetivo de Polaris es tener el mejor sistema agéntico para trabajar con mi diagnóstico.
Crossmapped phenotype ontologies for the oncology domain
A unified downloader+preprocessor for cancer genomics datasets
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