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scasa

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software/scasa

SCASA: Single cell transcript quantification tool

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

scasa project image
GitHub preview card for eudoraleer/scasa. 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
single-cell · single-cell-analysis · single-cell-rna-seq · transcript-quantification · transcriptomics
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.

  • bambu-pipesingle-cell · transcript-quantification · transcriptomics

    Transcript discovery and quantification for long read single cell and spatial transcriptomics data using Bambu

  • PIASOsingle-cell · single-cell-analysis · single-cell-rna-seq · transcriptomics

    PIASO: Precise Integrative Analysis of Single-cell Omics

  • COSGsingle-cell · single-cell-analysis · single-cell-rna-seq

    Accurate and fast cell marker gene identification with COSG

  • LabelCorrectionsingle-cell · single-cell-analysis · single-cell-rna-seq

    Python code for cross-condition label refinement in single-cell data with HiDDEN

  • LARISsingle-cell · single-cell-analysis · single-cell-rna-seq

    LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomics

  • randomlysingle-cell · single-cell-analysis · single-cell-rna-seq

    A Library for Denoising Single-Cell Data with Random Matrix Theory

sources
  1. api.github.com/repos/eudoraleer/scasa
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-11-24, 23 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/58.json→ .entries["scasa"]

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