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Found 4 papers, 1 papers with code
Topological and geometric analysis of cell states in single-cell transcriptomic data
Here, we present a tool, scGeom for exploiting the multiscale and multidimensional structures in scRNA-seq data by inspecting the geometry via graph curvature and topology via persistent homology of both cell networks and gene networks.
AVIDA: Alternating method for Visualizing and Integrating Data
In general applications, other methods can be used for the alignment and dimension reduction modules.
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.
A topological approach for protein classification
However prediction of protein function and dynamics from its sequence and structure is still a fundamental challenge in molecular biology.
Biomolecules
