Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
IEEE

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining

Abstract: This paper proposes a frequent pattern data mining algorithm based on support vector machine (SVM), aiming to solve the performance bottleneck of traditional frequent pattern mining ...
GitHub

Python rich client for visual protein Sequence to Structure Analysis (PySSA)

📣 Update details for version 1.3.0 📣 Please reinstall PySSA if your current version is 1.2.0 or older! Version 1.3.0 fixes the bug that every structure ...
IEEE

Adaptive Structure Strategy for Designing Nonparametric Models Based on Differential Neural Networks Using Functional Projection

Abstract: Differential neural networks (DiNNs) encounter a trade-off between the approximation quality and structural complexity. One promising approach to address this trade-off is incorporating ...