title: Gene-expression measurement: variance-modeling considerations for robust data analysis.
abstract: System-wide measurements of gene expression by DNA microarray and, more recently, RNA-sequencing strategies have become de facto tools of modern biology and have led to deep understanding of biological mechanisms and pathways. However, analyses of the measurements have often ignored statistically robust methods that account for variance, resulting in misleading biological interpretations.
authors.affiliation: Department of Bioengineering, University of California at San Diego, La Jolla, California, USA. shankar@ucsd.edu
authors.forename: Shankar
authors.initials: S
authors.lastname: Subramaniam
authors.forename: Gene
authors.initials: G
authors.lastname: Hsiao
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D015870:Gene Expression; D006801:Humans; D018448:Models, Immunological; D017423:Sequence Analysis, RNA