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flashdeconv

imported

data/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.

flashdeconv project image
GitHub preview card for cafferychen777/flashdeconv. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · cell-type-deconvolution · computational-biology · deconvolution · python · scanpy · single-cell · spatial-transcriptomics · visium
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)

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    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

sources
  1. api.github.com/repos/cafferychen777/flashdeconv
    retrieved 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 →

machine-readable

/v1/entries/20.json→ .entries["flashdeconv"]

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