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Enhancing-Reproducibility

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software/enhancing-reproducibility

Companion notebooks for our paper on reproducible statistics in bioimage analysis — runs in-browser via Binder

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

Enhancing-Reproducibility project image
GitHub preview card for FrancisCrickInstitute/Enhancing-Reproducibility. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-4.0(cc)
Status
active
Maturity
deployed
Organization
FrancisCrickInstitute
Country
unknown
Documentation
unknown
Tags
binder · bioimage-analysis · cellprofiler · image-analysis · jupyter-notebook · microscopy · python · reproducible-research · statistics
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.

  • pycytominercellprofiler · image-analysis · microscopy

    Python package for image-based profiling

  • openhcsbioimage-analysis · cellprofiler · microscopy

    Typed, reproducible high-content microscopy workflows across GUI, Python, CellProfiler, Napari/Fiji, GPU, and local MCP agents.

  • mmtf-proteomicsbinder · jupyter-notebook

    Methods for mapping proteomics data on 3D protein structure.

  • spm-notebooksbinder · jupyter-notebook

    SPM Notebooks

  • ITKSphinxExamplesimage-analysis · reproducible-research

    Cookbook examples for the Insight Toolkit documented with Sphinx

  • bioenginebioimage-analysis · microscopy

    BioEngine is a distributed AI platform that brings the power of cloud computing to bioimage analysis.

sources
  1. api.github.com/repos/FrancisCrickInstitute/Enhancing-Reproducibility
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 4 stars, license reported as CC-BY-4.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/61.json→ .entries["enhancing-reproducibility"]

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