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06/06/2023
Mathematics-assisted directed evolution and protein engineering
Directed evolution is a molecular biology technique that is transforming...
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05/25/2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
The success of many machine learning (ML) methods depends crucially on h...
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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...
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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...
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12/25/2021
Geometric algebra generation of molecular surfaces
Geometric algebra is a powerful framework that unifies mathematics and p...
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09/24/2021
MLIMC: Machine learning-based implicit-solvent Monte Carlo
Monte Carlo (MC) methods are important computational tools for molecular...
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09/17/2021
Proteome-informed machine learning studies of cocaine addiction
Cocaine addiction accounts for a large portion of substance use disorder...
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Multiscale Laplacian Learning
Machine learning methods have greatly changed science, engineering, fina...
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