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RNA-Seq Differential Expression Analysis in Coronary Artery Disease\n\nEste projeto teste, analisa perfis de expressão gênica de dados de RNA-Seq para identificar genes diferencialmente expressos em pacientes com Doença Arterial Coronariana (DAC) usando R.\n\n\u003cimg width=\"960\" height=\"86\" alt=\"rna_seq_dac_project_flow\" src=\"https://github.com/user-attachments/assets/2fc846fa-9f34-4273-979b-5c11786f9a9c\" /\u003e\n\n## Objetivo\n\nExecute um pipeline completo para análise de RNA-Seq:\n- Importação e limpeza de dados\n- Análise exploratória de dados\n- Expressão diferencial com DESeq2\n- Análise de enriquecimento funcional (GO, KEGG)\n- Visualização interativa com Shiny\n- Relatórios automatizados com RMarkdown\n\n## Estrutura Básica\n\n```\nrna_seq_dac_project/\n│\n├── data/\n│   ├── raw/\n│   └── processed/\n│\n├── scripts/\n│   ├── 01_load_and_clean.R\n│   ├── 02_eda_visualization.R\n│   ├── 03_deseq_analysis.R\n│   ├── 04_pathway_enrichment.R\n│   └── 05_generate_report.R\n│\n├── shiny_app/\n│   └── app.R\n│\n├── results/\n│\n├── reports/\n│   └── analysis_report.Rmd\n│\n├── .gitignore\n├── README.md\n└── renv.lock / renv/\n```\n\n## Estrutura do Projeto\n\n```\nscripts/ scripts Core R\ndados/raw/ matriz de contagem bruta de RNA-Seq e metadados\ndados/processados/ dados limpos para modelagem\nresultados/ saída da análise\nrelatórios/ relatórios finais (Rmd e HTML)\nshiny_app/ painel interativo\n```\n\n## Pacotes necessários\n\n- DESeq2\n- BiocManager\n- dplyr, tidyr, readr\n- ggplot2, pheatmap, plotly\n- clusterProfiler, enrichR\n- shiny, flexdashboard\n- rmarkdown\n\n## Execução\n\nExecute scripts sequencialmente a partir de `scripts/` ou carregue como um pipeline.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnathadriele%2Frna_seq_dac_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnathadriele%2Frna_seq_dac_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnathadriele%2Frna_seq_dac_project/lists"}