Receber por email
← Voltar para o catálogo

single-cell-annotation-guide

Decision framework for manual marker-based, automated (CellTypist), and reference-based (popV) cell type annotation in scRNA-seq. Three-tier strategy: Tier 1 manual markers, Tier 2 CellTypist, Tier 3 popV ensemble transfer. Use when planning or troubleshooting annotation.

2estrelas
Atualizado há 4 meses

Ver no GitHub ↗

Como adicionar

/plugin marketplace add bg-szy/TOP-SKILLS

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/single-cell-annotation-guide-bg-szy/svg)](https://www.skillteca.com.br/skills/single-cell-annotation-guide-bg-szy)

Alerta por categoria

Receba novas skills de Design e Frontend toda segunda

1 email curto, só com as skills novas de Design e Frontend. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Single-Cell RNA-seq Cell Type Annotation Guide

Overview

Cell type annotation is the process of assigning biological identities to computationally defined clusters in single-cell RNA-seq data. It is one of the most consequential analytical decisions in a scRNA-seq project: annotation errors propagate into downstream analyses of differential expression, trajectory inference, and cell-cell communication. This guide presents a three-tier decision strategy — manual marker-based annotation firs

[Description truncada. Veja o README completo no GitHub.]

Compartilhar X LinkedIn