scanscn
A tool to identify small cell neuroendocrine (SCN) features from transcriptomic data.
Science Score: 44.0%
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A tool to identify small cell neuroendocrine (SCN) features from transcriptomic data.
Basic Info
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created 11 months ago
· Last pushed 10 months ago
Metadata Files
Readme
License
Citation
README.md
ScanSCN
ScanSCN is a toolkit for identifing and analyzing small cell neuroendocrine (SCN) molecular features in transcriptomics datasets.
Overview
It supports R, Python and Snakemake workflows for both bulk and single-cell RNA-seq data and is applicable across a range of cancer types.
Features
Bulk RNA-seq
- Signature Enrichment: Enrichment against curated resistance gene sets
- SCN Scoring: PCA projection of query expression onto SCN reference
- Similarity Assessment: Compare DEGs, expression, and pathway trends vs known SCN profiles
Single-cell RNA-seq
- Preprocessing: Mitochondrial filtering, doublet detection (scDblFinder), ambient RNA correction (DecontX)
- Normalization & Integration: SCTransform with optional cell cycle regression, RPCA or Harmony integration
- Clustering & DE: Leiden clustering, MAST-based marker identification
- Trajectory Analysis: Monocle 3 pseudotime inference
- Signature Scoring: AddModuleScore for SCN and other resistance signatures
- SCN Gene Prioritization: Cell classification → pseudobulk aggregation → DE feature selection → Ensemble ML model training for feature importance ranking
Owner
- Login: fesedebe
- Kind: user
- Repositories: 1
- Profile: https://github.com/fesedebe
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: ScanSCN
message: 'If you use this software, please cite it as below.'
type: software
authors:
- given-names: Favour
family-names: Esedebe
orcid: 'https://orcid.org/0000-0001-6167-0647'
repository-code: 'https://github.com/fesedebe/ScanSCN'
license: MIT
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- Public event: 2
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