Single-Cell & Spatial Analytics — you get
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Comprehensive QC, normalization, and batch correction as needed
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Curated data with expert, customized approaches (metadata checks, doublet removal)
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Dimensionality reduction (PCA/UMAP/PHATE) and intuitive visualizations
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Clustering cells/samples with unsupervised methods and annotated with marker tables
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Differential expression across samples, clusters, or cell types
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Gene-set enrichment and pathway/TF-motif analysis
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Mapped trajectories and cell–cell communication; spatial mapping when available
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TCR/BCR clonotypes to phenotypes
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High-resolution, publication-quality figures
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Delivered reusable notebooks (.h5ad/.rds) and a concise biological summary aligned to your goals