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Found 4 papers, 2 papers with code
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis
Over the years, Principal Component Analysis (PCA) has served as the baseline approach for dimensionality reduction in gene expression data analysis.
Virtual screening of DrugBank database for hERG blockers using topological Laplacian-assisted AI models
We are particularly interested in the hERG-cardiotoxicity of compounds collected in the DrugBank database considering that many DrugBank compounds have been approved for therapeutic treatments or have high potential to become drugs.
Prediction and mitigation of mutation threats to COVID-19 vaccines and antibody therapies
This discovery implies the vulnerability of current vaccines and antibody drugs to new mutations.
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening
This work introduces a number of algebraic topology approaches, such as multicomponent persistent homology, multi-level persistent homology and electrostatic persistence for the representation, characterization, and description of small molecules and biomolecular complexes.
