research
∙
06/06/2023
Mathematics-assisted directed evolution and protein engineering
Directed evolution is a molecular biology technique that is transforming...
share
research
∙
05/25/2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
The success of many machine learning (ML) methods depends crucially on h...
research
∙
01/11/2023
Topological data analysis hearing the shapes of drums and bells
Mark Kac asked a famous question in 1966 entitled Can one hear the shape...
research
∙
11/12/2022
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data
In molecular and biological sciences, experiments are expensive, time-co...
research
∙
12/25/2021
Geometric algebra generation of molecular surfaces
Geometric algebra is a powerful framework that unifies mathematics and p...
research
∙
09/24/2021
MLIMC: Machine learning-based implicit-solvent Monte Carlo
Monte Carlo (MC) methods are important computational tools for molecular...
research
∙
09/17/2021
Proteome-informed machine learning studies of cocaine addiction
Cocaine addiction accounts for a large portion of substance use disorder...
research
∙
09/08/2021
Multiscale Laplacian Learning
Machine learning methods have greatly changed science, engineering, fina...
research
∙
03/31/2017