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Results of differential expression analysis of RNAseq datasets from wild type and Zfp92 knockout islets.

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Figshare2023-05-08 更新2026-04-28 收录
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Differential expression analysis of RNA-seq datasets was done using DEseq2. Expression levels of genes are presented as normalized counts. baseMean: the average of the normalized counts taken over all samples; log2FoldChange: log2 fold change between the compared groups; lfcSE: standard error of the log2FoldChange estimate; stat: Wald statistic; pvalue = Wald test p-value; padj = Benjamini-Hochberg adjusted p-value. (XLSX)

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2023-05-08
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