scAlign
importeddata/scalign
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- quon-titative-biology
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/quon-titative-biology/scAlign
- Documentation
- unknown
- Tags
- human-cell-atlas · scrna-seq · scrna-seq-analysis · single-cell · single-cell-genomics
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Genes2Geneshuman-cell-atlas · scrna-seq · single-cell
Aligning gene expression trajectories of single-cell reference and query systems
- scClustVizscrna-seq · scrna-seq-analysis · single-cell
Explore and share your scRNAseq clustering results
- scCustomizescrna-seq · single-cell · single-cell-genomics
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
- scgenscrna-seq · single-cell · single-cell-genomics
Single cell perturbation prediction
- scarcheshuman-cell-atlas · scrna-seq
Reference mapping for single-cell genomics
- SCPscrna-seq · scrna-seq-analysis
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
- api.github.com/repos/quon-titative-biology/scAlignretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-11-16, 39 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/24.json→ .entries["scalign"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.