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SCdeconR

imported

software/scdeconr

Deconvolution of bulk RNA-seq data using single-cell RNA-seq data as reference

Machine-generated from the listed sources and not yet reviewed by a human.

SCdeconR project image
GitHub preview card for Liuy12/SCdeconR. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bulk-rna-seq-deconvolution · deconvolution · differential-expression · ffpe · geneset-enrichment-analysis · r · scdeconr · single-cell
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.

  • ENIGMAbulk-rna-seq-deconvolution · deconvolution · single-cell

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

  • normalisrdifferential-expression · single-cell

    Causal inference, differential expression, and co-expression for scRNA-seq

  • oracle-scrna-seqdifferential-expression · 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.

  • scClustVizdifferential-expression · single-cell

    Explore and share your scRNAseq clustering results

  • scLANEdifferential-expression · single-cell

    Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.

  • SCPAdifferential-expression · single-cell

    R package for pathway analysis in scRNA-seq data

sources
  1. api.github.com/repos/Liuy12/SCdeconR
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-29, 10 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 →

machine-readable

/v1/entries/18.json→ .entries["scdeconr"]

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