openmedical/registry
← registry

IKAP

imported

software/ikap

IKAP - Identifying K mAjor cell Population groups in single-cell RNA-seq analysis

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

IKAP project image
GitHub preview card for GenomicsNX/IKAP. 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
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
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.

  • BadranSeqscrna-seq · single-cell

    The scRNA-seq figures your paper deserves. One package, zero boilerplate.

  • beaniescrna-seq · single-cell

    Tool for group biology estimation in single-cell RNAseq data

  • BgeeDB_Rscrna-seq · single-cell

    Source code of the R packge BgeeDB to use data from the Bgee database

  • BITFAMscrna-seq · single-cell

    BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021)…

  • cell-annotatorscrna-seq · single-cell

    Automatically annotate cell types, consistently across samples.

  • cellhintscrna-seq · single-cell

    A tool for semi-automatic cell type harmonization and integration

sources
  1. api.github.com/repos/GenomicsNX/IKAP
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2020-03-16, 19 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/44.json→ .entries["ikap"]

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