Gerstner, Jason Koberstein, John Watson, Adam Zapero, Nikolai Risso, Davide Speed, Terence Frank, Marcos Peixoto, Lucia Additional file 3: of Removal of unwanted variation reveals novel patterns of gene expression linked to sleep homeostasis in murine cortex Impact of RUV on differential expression. A) Top left. Distribution of unadjusted limma p-values for tests of differential expression between SD and CC samples following RMA and RUV normalization. RUV increases discovery of differentially expressed genes (genes that have a low p-value). Bottom. Volcano plot of differential expression (竏値og10 p-value vs log fold change) of Quantile and RUV normalized samples. Genes with and FDR <0.01 are highlighted in blue. Positive controls are circled in red. B) Top right. Distribution of unadjusted limma p-values for tests of differential expression between RS2 and CC samples following RMA and RUV normalization. RUV increases discovery of differentially expressed genes (genes that have a low p-value). Bottom. Volcano plot of differential expression (竏値og10 p-value vs log fold change) of Quantile and RUV normalized samples. Genes with and FDR <0.01 are highlighted in blue. Positive controls are circled in red. C) Bottom left. Distribution of unadjusted limma p-values for tests of differential expression between RS3 and CC samples following RMA and RUV normalization. RUV increases discovery of differentially expressed genes (genes that have a low p-value). Bottom. Volcano plot of differential expression (竏値og10 p-value vs log fold change) of Quantile and RUV normalized samples. Genes with and FDR <0.01 are highlighted in blue. Positive controls are circled in red. D) Bottom right. Distribution of unadjusted limma p-values for tests of differential expression between RS6 and CC samples following RMA and RUV normalization. RUV increases discovery of differentially expressed genes (genes that have a low p-value). Bottom. Volcano plot of differential expression (竏値og10 p-value vs log fold change) of Quantile and RUV normalized samples. Genes with and FDR <0.01 are highlighted in blue. Positive controls are circled in red. (PDF 6414 kb) Sleep;Sleep deprivation;Circadian;Microarray;Gene;mRNA;Transcriptomics 2016-10-25
    https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_Removal_of_unwanted_variation_reveals_novel_patterns_of_gene_expression_linked_to_sleep_homeostasis_in_murine_cortex/4471337
10.6084/m9.figshare.c.3645239_D4.v1