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The Wayback Machine - https://web.archive.org/web/20220131133906/https://github.com/topics/cancer
Here are
497 public repositories
matching this topic...
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Updated
Nov 11, 2021
Python
Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
Updated
Sep 16, 2021
Python
A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.
Personal Cancer Genome Reporter (PCGR)
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Updated
Jan 27, 2022
Nextflow
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Updated
Jan 31, 2019
HTML
Detect and visualize target mutations by scanning FastQ files directly
Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
Updated
Jan 27, 2020
Nextflow
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation:
https://cbica.github.io/CaPTk
Fast and accurate gene fusion detection from RNA-Seq data
This project is all about a Machine Learning based Medical Test web app which makes predictions about various diseases using the concept of machine learning.
Updated
Jan 13, 2022
HTML
Building classifiers using cancer transcriptomes across 33 different cancer-types
Updated
Apr 30, 2019
Jupyter Notebook
Putting machine learning in the hands of cancer biologists
Updated
Oct 27, 2017
Jupyter Notebook
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
Updated
Nov 15, 2021
HTML
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
Gene fusion detection and visualization
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
Updated
Oct 11, 2021
Jupyter Notebook
A Slicer extension to provide a GUI around pyradiomics
Updated
Apr 12, 2021
Python
A list of web-based interactive biological data visualizations.
Updated
Aug 25, 2020
HTML
Provide R access to the NCI Genomic Data Commons portal.
Web client for CIViC: Clinical Interpretations of Variants in Cancer
Updated
Jan 27, 2022
JavaScript
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Updated
Sep 7, 2020
Python
BioDynaMo is a high-performance and modular, agent-based simulation platform.
It was built a web application as a step forward in building a 3D recommendation system.
Cancer Predisposition Sequencing Reporter (CPSR)
An interactive web portal for exploring immuno-oncology data
3D hotspot mutation proximity analysis tool
Updated
Aug 22, 2019
Perl
Python package to annotate and visualize gene fusions.
Updated
Nov 9, 2019
Python
Flask App for Cancer Donation Portal using basic Python, SQLite3, HTML, CSS and Javascript
Updated
Oct 1, 2020
Python
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