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Data Normalization and Analysis

CP Ciarán J. Powers
RD Ryan Dickerson
SZ Stacey W. Zhang
CR Cameron Rink
SR Sashwati Roy
CS Chandan K. Sen
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Quality control, normalization, and data analysis was performed using nSolver 2.0 Analysis Software (nanoString Technologies). Additional data analysis was performed using Genespring GX (Agilent Technologies, Santa Clara, CA). For data visualization, the miRNA expression data were subjected to hierarchical clustering using dChip (v 1.3) software. All differentially expressed miR were identified using one-way analysis of variance (ANOVA) assay with significance level was set at P < 0.05 and with correction for false discovery rate (22–26).

Copyright and License information:  ©2016 the American Physiological Society

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