Predicting whether a gene is adhesome components based on OMIC features
Use Git or checkout with SVN using the web URL.
Work fast with our official CLI. Learn more about the CLI.
Please sign in to use Codespaces.
If nothing happens, download GitHub Desktop and try again.
If nothing happens, download GitHub Desktop and try again.
If nothing happens, download Xcode and try again.
Your codespace will open once ready.
There was a problem preparing your codespace, please try again.
Prediction of whether a gene is part of the Adhesome based on omics features using machine learning.
The Adhesome is a set of proteins that form a complex network of interactions that together form the cellular processes of cell adhesion, migration and cytoskeletal organization [1][2].
The IPython notebook that performs the predictions can be viewed here.
Predicting whether a gene is adhesome components based on OMIC features