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cell, doi, types, expression, cells, deconvolution, immune, data, genes, values, rnaseq, mrna, google, scholar, pubmed, gene, methods, samples, microarray, cohort, type, table, figure, pmc, article, free, tpm, abundance, signature, pbmc, rna, normalization, analysis, figures, cytometry, proportions, absolute, pbmcs, matrix, results, blood, modules, panel, flow, obtained, performed, method, star, memory, scaling,

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org/web/packages/rtsne/index org/web/packages/dynamictreecut/index org/web/packages/ape/index org/web/packages/wgcna/index io/kallisto/download tximport v1 single-cell rna-seq reveals 20 μm template-switching oligos [google scholar] atkuri [google scholar] willinger [google scholar] bindea house clinical trial nct pbmc-derived rna-seq data supplemental information mmc8 pmc beta search single-cell rna-seq study ground-truth cell proportions fluorescence-activated cell sorting single-cell rna-seq full-length rna-seq magnetic-activated cell sorting retrieval real ρ proportions rna-seq transcriptomic profiling ground-truth proportions needed cell type-specific genes immune-specific hk genes rna-seq pbmc data rna-seq expression values rna-seq data analysis statistical analysis rna-seq external rna-seq data license information pmcid pbmc-derived transcriptomics data β coefficient corresponds united states government ziegler-heitbrock references abbas rna-seq pbmc samples flow cytometry-based immunophenotyping cell type average immune-specific genes identified ρ ˆ normalize rna-seq data improve absolute estimation β coefficients account cell-mixture deconvolution α ˆ normalizing rna-seq data smartseq v2 protocol figures s1–s9 mmc1

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• Gene expression of peripheral blood mononuclear cells as a tool in dietary intervention studies: what do we know so far?

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