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devCellPy

imported

software/devcellpy

devCellPy is a Python package designed for hierarchical multilayered classification of cells based on single-cell RNA-sequencing.

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

devCellPy project image
GitHub preview card for devCellPy-Team/devCellPy. 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
devCellPy-Team
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
machine-learning · rna-seq · scrna-seq · single-cell
Regulatory
unknown
similar by tags

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    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)…

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    The starter kit for the CAMDA 2026 Health Privacy Challenge.

  • PeakATailrna-seq · scrna-seq · single-cell

    Single-cell APA peak calling and poly(A) tail analysis from scRNA-seq. Detects polyadenylation sites, quantifies 3'UTR length switching, and compares APA usage across cell clusters and samples.

  • phd-thesis-analysisrna-seq · scrna-seq · single-cell

    Code for the analysis chapter of my PhD thesis looking at kidney organoid scRNA-seq data

  • scib-reproducibilityrna-seq · scrna-seq · single-cell

    Additional code and analysis from the single-cell integration benchmarking project

sources
  1. api.github.com/repos/devCellPy-Team/devCellPy
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-03-04, 27 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/59.json→ .entries["devcellpy"]

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