Selected article for: "discovery rate and gene expression"

Author: Arunachalam Ramaiah; Deisy Contreras; Vineela Gangalapudi; Masumi Sameer Padhye; Jie Tang; Vaithilingaraja Arumugaswami
Title: Dysregulation of Long Non-coding RNA (lncRNA) Genes and Predicted lncRNA-Protein Interactions during Zika Virus Infection
  • Document date: 2016_7_1
  • ID: 2cerplno_11
    Snippet: Benjamini and Hochberg procedure [24] was applied to adjust for multiple hypothesis testing and differential expressed gene candidates were selected with a false discovery rate of less than 0.10. For visualization of coordinated gene expression in the samples, a hierarchical clustering with the Pearson correlation distance matrix was performed with differential expressed gene candidates using the Bioconductor gplots package (version 2.14.2) in R......
    Document: Benjamini and Hochberg procedure [24] was applied to adjust for multiple hypothesis testing and differential expressed gene candidates were selected with a false discovery rate of less than 0.10. For visualization of coordinated gene expression in the samples, a hierarchical clustering with the Pearson correlation distance matrix was performed with differential expressed gene candidates using the Bioconductor gplots package (version 2.14.2) in R.

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