Controlled vocabulary
Tags
Every tag in use, grouped by the facet that declares it. Each destination lists the typed notes carrying that term.
Method
The TDA or topological deep learning technique a note explains or implements.
- method/mapper Mapper graphs and other nerve-based topological summaries. 6 notes
- method/multiparameter-persistence Persistence along more than one filtration parameter. 5 notes
- method/persistent-homology Barcodes and persistence diagrams read off a filtration. 34 notes
- method/persistent-laplacian Persistent topological Laplacian methods and implementations. 15 notes
- method/simplicial-learning Learning directly on simplicial complexes and their Hodge structure. 4 notes
- method/spectral-geometry Geometry-aware spectral and diffusion scaffolds. 7 notes
- method/topological-deep-learning Learning models built on topological representations. 15 notes
Application
The bioinformatics problem or analysis setting a note serves.
Modality
The biological data modality a note consumes or describes.
- modality/graph Graphs, networks, and higher-order complexes. 4 notes
- modality/high-dim-tabular High-dimensional feature matrices such as single-cell count data. 16 notes
- modality/molecular-structure Three-dimensional atomic structures of molecules and complexes. 19 notes
- modality/point-cloud Generic point clouds and distance matrices, without a fixed biological source. 27 notes
- modality/sequence Biological sequences, as reads, proteins, or nucleotide records. 2 notes
Meta
Foundry-meta notes — about the Foundry's own design, machinery, or casting system rather than about topological data analysis. The one facet whose member carries no slash.