We proposed a topology-aware geometric deep learning method (TAG-DL) and compared it with the state-of-the-art deep learning segmentation models, UNet, nnUNet and TransUNet. All models were trained on ...
Concatenates two open paths (returns NULL if either path is closed). path '[(0,0),(1,1)]' + path '[(2,2),(3,3),(4,4)]' → [(0,0),(1,1),(2,2),(3,3),(4,4)] ...
It's also great for describing escape sequences you might not understand, and exploring what TUIs are doing under the hood. There are lots more use cases too, like inspecting golden files such as the ...
A rich set of functions and operators is available to perform various geometric operations such as scaling, translation, rotation, and determining intersections. They are explained in Section 9.11.
Protein function analyses use protein sequences and structures as inputs into software that generates experimentally testable predictions of function. A recent study introduces a series of ...