bioskills-doublet-detection

Estrelas102

Forks13

Atualizado6 de julho de 2026 às 12:06

Detect and remove cell doublets from flow cytometry or CyTOF data using scatter gating, DNA/event-length methods, or regression residuals, with batch processing and visualization.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Executar no Manus

Fonte

ai4nucleome

ai4nucleome/BioMaster

Abrir repositório GitHub Ver repositórios do creator

Download

Executar no Manus

Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Cientistas biológicos, todos os outrosCiências da Vida, Físicas e Sociais·SOC 19-1029

Explorador de arquivos

4 arquivos

SKILL.md

readonly

name	bioskills-doublet-detection
description	Detect and remove cell doublets from flow cytometry or CyTOF data using scatter gating, DNA/event-length methods, or regression residuals, with batch processing and visualization.
domain	single-cell
primary_tool	flowCore
methods	["flowCore","flowDensity","flowAI","CATALYST","ggplot2","ggcyto"]
macro_tags	["doublet-detection","singlet-gating","flow-cytometry","cytof","qc"]
micro_tags	["flowCore","flowDensity","flowAI","CATALYST","ggplot2","ggcyto","data-loading","fcs","channel-check","singlet-gating","fsc","ssc","ratio","cytof","dna-content","event-length","regression","residuals","doublet-rate","batch-processing","fsApply","visualization","reporting"]
source	bioskills-doublet-detection
status	active
enabled	true

Bioskills Doublet Detection

Mais deste repositório

mesmo repositório

biomaster

ai4nucleome/BioMaster

Load BioMaster as one integrated skill-driven bioinformatics assistant.

2026-07-08102

biomaster

ai4nucleome/BioMaster

BioMaster conversational bioinformatics assistant; starts workflows only after execution intent or empty activation.

2026-07-08102

bioclaw-cell-annotation

ai4nucleome/BioMaster

Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.

2026-07-06102

bioclaw-hub-cell-communication

ai4nucleome/BioMaster

Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation.

2026-07-06102

bioclaw-hub-multiome-scatac

ai4nucleome/BioMaster

Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.

2026-07-06102

bioclaw-hub-spatial-transcriptomics

ai4nucleome/BioMaster

Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps.

2026-07-06102

name	bioskills-doublet-detection
description	Detect and remove cell doublets from flow cytometry or CyTOF data using scatter gating, DNA/event-length methods, or regression residuals, with batch processing and visualization.
domain	single-cell
primary_tool	flowCore
methods	["flowCore","flowDensity","flowAI","CATALYST","ggplot2","ggcyto"]
macro_tags	["doublet-detection","singlet-gating","flow-cytometry","cytof","qc"]
micro_tags	["flowCore","flowDensity","flowAI","CATALYST","ggplot2","ggcyto","data-loading","fcs","channel-check","singlet-gating","fsc","ssc","ratio","cytof","dna-content","event-length","regression","residuals","doublet-rate","batch-processing","fsApply","visualization","reporting"]
source	bioskills-doublet-detection
status	active
enabled	true