openmedical/registry
← registry

ELeFHAnt

imported

data/elefhant

Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell…

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

ELeFHAnt project image
GitHub preview card for praneet1988/ELeFHAnt. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
annotation-tool · cell-biology · celltype-annotation · classification · harmonization · machine-learning · ngs-analysis · scalability · single-cell · single-cell-rna-seq
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.

  • Cellcanocelltype-annotation · single-cell

    Supervised cell type identification for scATAC-seq data

  • CyteTypecelltype-annotation · single-cell

    Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data

  • transmorphsingle-cell · single-cell-rna-seq

    Computational framework for dataset integration

  • DrACannotation-tool

    Extracting Patients' information from clinical notes and export them to an OMOP CDM database.

  • DeepCyclecell-biology · single-cell

    Cell cycle inference in single-cell RNA-seq

  • nano-scGPTcell-biology · single-cell

    The simplest repo for scGPT inference, finetuning and training.

sources
  1. api.github.com/repos/praneet1988/ELeFHAnt
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-07-18, 24 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/22.json→ .entries["elefhant"]

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