A population quantity of interest in statistical shape analysis is the location of landmarks, which are points that aid in reconstructing and representing shapes of objects. We provide an automated, ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

In oncology drug development, biomarker-driven studies are pivotal, enabling the selection of patient populations most likely to benefit from specific therapeutic interventions. These studies have ...

Particle characterization involves analyzing particles based on attributes such as shape, size, surface properties, charge properties, mechanical properties, and microstructure, among others. A wide ...