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scoreCT

imported

software/scorect

scoreCT: Automated Cell Type Annotation

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

scoreCT project image
GitHub preview card for LucasESBS/scoreCT. 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
cell-type-classification · 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.

  • Cellcanocell-type-classification · single-cell

    Supervised cell type identification for scATAC-seq data

  • celltypistcell-type-classification · single-cell

    A tool for semi-automatic cell type classification

  • PySingleCellNetcell-type-classification · single-cell

    singleCellNet in Python

  • scDeepSortcell-type-classification · single-cell

    Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

  • scDeepSort_performance_comparisoncell-type-classification · single-cell

    The source code and results for different methods on annotating external testing datsets of human and mouse.

  • scMKLcell-type-classification · single-cell

    Python package for single-cell analysis with multiple kernel learning.

sources
  1. api.github.com/repos/LucasESBS/scoreCT
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-04-18, 16 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/2.json→ .entries["scorect"]

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