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 ...
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
#Awesome#A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.
Personal Cancer Genome Reporter (PCGR)
#计算机科学#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.
#计算机科学#Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
#Awesome#A list of web-based interactive biological data visualizations.
#计算机科学#Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
#计算机科学#Training and evaluating a variational autoencoder for pan-cancer gene expression data
Detect and visualize target mutations by scanning FastQ files directly
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
翻译 - P-NET,用于前列腺癌分类和发现的生物学深度神经网络
#计算机科学#Opensource Python project for cancer radiation treatment planning [AAPM'23]
#计算机科学#Building classifiers using cancer transcriptomes across 33 different cancer-types
A Slicer extension to provide a GUI around pyradiomics
BioDynaMo is a high-performance and modular, agent-based simulation platform.
#计算机科学#A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.