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scClustViz

imported

software/scclustviz

Explore and share your scRNAseq clustering results

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
BaderLab
Country
unknown
Documentation
unknown
Tags
clustering-evaluation · differential-expression · r · scrna-seq · scrna-seq-analysis · scrnaseq · shiny · single-cell
Regulatory
unknown
built by · 1

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.

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.

  • souporcellscrna-seq · scrna-seq-analysis · scrnaseq

    Clustering scRNAseq by genotypes

  • GateLabRshiny · single-cell

    Interactive flow and mass cytometry gating in R/Shiny on SingleCellExperiment objects, with Gating-ML round-trip. Browser version (no R): github.com/david-priest/GateLab

  • scAlignscrna-seq · scrna-seq-analysis · single-cell

    A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches

  • SCPscrna-seq · scrna-seq-analysis

    An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

  • scarfscrna-seq-analysis · single-cell

    Memory-efficient single-cell analysis in Python. Stream RNA, ATAC, CITE-seq and multi-omics from local or remote Zarr stores, from laptop to atlas scale, with reusable fingerprinted results.

  • scGNNscrna-seq-analysis · single-cell

    scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

sources
  1. api.github.com/repos/BaderLab/scClustViz
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-09-06, 53 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/61.json→ .entries["scclustviz"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.