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CITEViz

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software/citeviz

CITEViz: Replicating the Interactive Flow Cytometry Workflow in CITE-Seq

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

CITEViz project image
GitHub preview card for maxsonBraunLab/CITEViz. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
maxsonBraunLab
Country
unknown
Documentation
unknown
Tags
flow-cytometry · multi-omics · r-shiny · scrna-seq · 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.

  • cytometry-clustering-comparisonflow-cytometry · single-cell

    R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

  • figtracerflow-cytometry · single-cell

    Plain-text, git-tracked lab notebook for reproducible bioinformatics — keeps figures in your Markdown notes in sync with the R & Python code that made them, when the notes live outside the analysis.…

  • GateLabRflow-cytometry · 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

  • grappoloflow-cytometry · single-cell

    R package to cluster single-cell data and generate features that can be used for model building

  • viteflow-cytometry · single-cell

    R package for analysis of single-cell data using graphs

  • HuMMuSmulti-omics · single-cell

    Molecular interactions inference from single-cell multi-omics data

sources
  1. api.github.com/repos/maxsonBraunLab/CITEViz
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-06-06, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/59.json→ .entries["citeviz"]

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