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Additional file 3: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

Year: 2016

Type: dataset

Abstract: Differential expression output from the p53 mutation study. The results of differential expression (using the R package limma) on the input breast cancer RNA-seq data filtered for genes in the p53-pathway. Note that the contrast called in limma used p53 non-mutated samples as the reference condition, so positive logFC values are upregulated in the mutant condition compared to wildtype, while negative logFC values are downregulated in the mutant condition compared to wildtype. (TSV 33Â kb)

Source: Figshare

DOI: 10.6084/m9.figshare.c.3600206_d6

Authors: McKenzie, Andrew, Katsyv, Igor, Won-Min Song, Minghui Wang, Zhang, Bin

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4394508555

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