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Sarcoidosis is a complex, multi-system granulomatous disease characterized by immune dysregulation and chronic inflammation, primarily affecting the lungs. To identify cell specific molecular changes associated with sarcoidosis development and progression, we aimed to characterize cellular composition, gene expression patterns, and cell-cell interactions in bronchoalveolar lavage (BAL) cells from patients with pulmonary sarcoidosis and healthy controls.
Pubmed ID: 42273700
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Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.
View all literature mentionsSoftware package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.
View all literature mentionsSoftware R toolkit for inference, visualization and analysis of cell-cell communication from single cell data.Quantitatively infers and analyzes intercellular communication networks from single-cell RNA-sequencing data. Predicts major signaling inputs and outputs for cells and how those cells and signals coordinate for functions using network analysis and pattern recognition approaches. Classifies signaling pathways and delineates conserved and context specific pathways across different datasets.
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