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Yeskit

imported

software/yeskit

Yet another single-cell analysis toolkit

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

Yeskit project image
GitHub preview card for ncrna/Yeskit. 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
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
annotation · clustering · differential-expression · enrichment · single-cell · visualization
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.

  • ASAPclustering · differential-expression · enrichment · single-cell · visualization

    ASAP : Automated Single-cell Analysis Pipeline

  • FlowAtlas.jlannotation · clustering · single-cell

    an interactive explorer for flow cytometry data

  • decouplerenrichment · single-cell

    Python package to perform enrichment analysis from omics data.

  • topometryclustering · single-cell · visualization

    Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis

  • 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.

sources
  1. api.github.com/repos/ncrna/Yeskit
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-01-07, 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/4.json→ .entries["yeskit"]

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