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.
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk/
It would be nice to add a params to choose the VEP genome assembly.
In most cases it is the --genome params, but I'm assuming it'll be easier to control if we have that as a separate params.
For example, it's currently not working with the --genome custom setting.
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.
It would be nice to add a params to choose the VEP genome assembly.
In most cases it is the
--genomeparams, but I'm assuming it'll be easier to control if we have that as a separate params.For example, it's currently not working with the
--genome customsetting.