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ReCoN

imported

software/recon

Exploring multicellular coordination from single-cell gene expression / multi-omics using mutlilayer network representations

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

ReCoN project image
GitHub preview card for cantinilab/ReCoN. 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
cantinilab
Country
unknown
Documentation
unknown
Tags
atac-seq · biological-networks · multicellular · multilayer-networks · multiomics · omics · rna-seq · single-cell · treatment-effects
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.

  • HuMMuSbiological-networks · multilayer-networks · single-cell

    Molecular interactions inference from single-cell multi-omics data

  • craftgrnatac-seq · multiomics · rna-seq

    Combined RNA and ATAC Footprint Training of Gene Regulatory Network

  • NGSOmics_Programmingatac-seq · rna-seq · single-cell

    Computational biology/bioinformatics workflows, codes, tech & concept notes on NGS data

  • uniCATEtreatment-effects

    Univariate conditional average treatment effect estimation for predictive biomarker discovery

  • multiDEGGsmultiomics · omics

    An R package to perform differential network analysis in single and multi-omic data. It can also be used for feature selection in ML.

  • py3plexmultilayer-networks

    Py3plex - A multilayer complex network visualization and analysis library in python3

sources
  1. api.github.com/repos/cantinilab/ReCoN
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 9 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/52.json→ .entries["recon"]

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