pcbi.1007869.s010.pdf (3.24 MB)
Download fileDESeq2 analysis of the ADC and SQCC TCGA cohorts.
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posted on 2020-05-11, 17:33 authored by Magali Richard, Clémentine Decamps, Florent Chuffart, Elisabeth Brambilla, Sophie Rousseaux, Saadi Khochbin, Daniel JostDESeq2 analysis of the ADC (a) and SQCC (b) TCGA cohorts (green triangles: super-conserved genes, red triangles: super-up-regulated genes, blue triangles: super-down-regulated genes). (c) Genes identified as deregulated by Tian et al. x-axis corresponds to normalized mean expression in controls. y-axis corresponds to normalized mean expression in tumor. Gene with super patterns identified with PenDA are depicted with triangles (green triangles: super-conserved genes, red triangles: super-up-regulated genes, blue triangles: super-down-regulated genes).
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lung cancer cohortscancer-type-specific commitmentderegulation patternsRNA-seq datarank-based methoduser-friendly R packageprecision medicinegene expressionsPenDA outcompetes37 biomarkersderegulation statusnormalization effectslung adenocarcinoma cancerstumors exhibitreference datasethigh-throughput genomic informationnovel methodlung cancer
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