scDHMap
importedsoftware/scdhmap
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ttgump/scDHMap
- Documentation
- unknown
- Tags
- deep-learning · dimensionality-reduction · hyperbolic-embeddings · manifold-learning · single-cell · visualization
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- topometrydimensionality-reduction · manifold-learning · single-cell · visualization
Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis
- scRankmanifold-learning · single-cell
A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic…
- Co-Manifoldhyperbolic-embeddings
[Neurocomputing] Official PyTorch implementation for Co-Manifold Learning for Semi-supervised Medical Image Segmentation
- dbMAPdimensionality-reduction · single-cell
Deprecated in favour of TopoMetry: https://github.com/davisidarta/topometry
- FlowAtlas.jldimensionality-reduction · single-cell
an interactive explorer for flow cytometry data
- PCAworkshopdimensionality-reduction · single-cell
An introduction to matrix factorization and PCA and SVD.
- api.github.com/repos/ttgump/scDHMapretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-07-10, 8 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/7.json→ .entries["scdhmap"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.