flashdeconv
importeddata/flashdeconv
Fast spatial deconvolution via leverage-score sketching — scales to million-spot datasets while preserving rare cell type signals.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/cafferychen777/flashdeconv
- Documentation
- unknown
- Tags
- bioinformatics · cell-type-deconvolution · computational-biology · deconvolution · python · scanpy · single-cell · spatial-transcriptomics · visium
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ENIGMAcell-type-deconvolution · deconvolution · single-cell · spatial-transcriptomics
A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)
- oracle-scrna-seqbioinformatics · computational-biology · scanpy · single-cell
Single-cell RNA-seq following scverse practices: QC, doublet detection, normalization, batch correction, clustering, marker genes, and cell-type annotation, with optional trajectory analysis.
- STHDbioinformatics · computational-biology · single-cell · spatial-transcriptomics
STHD: probabilistic cell typing of Single spots in whole Transcriptome spatial data with High Definition
- NGSOmics_Programmingdeconvolution · single-cell · spatial-transcriptomics
Computational biology/bioinformatics workflows, codes, tech & concept notes on NGS data
- mLLMCelltypebioinformatics · computational-biology · scanpy
Cell type annotation for single-cell RNA-seq using multi-LLM consensus
- cirrocumulusbioinformatics · scanpy · single-cell
Bring your single-cell data to life
- api.github.com/repos/cafferychen777/flashdeconvretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-06-30, 26 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/20.json→ .entries["flashdeconv"]
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