Statistical Analysis of Gene Expression Microarray Data

By D. Edwards. 2003

438 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Stochastic modelling for quantitative description of heterogeneous biological systems (2009, positive): “Statistical models allow information to be extracted from data despite complex structures and noise processes in the dat”
Goodness-of-fit testing and quadratic functional estimation from indirect observations (2006, neutral): “Gene expression is measured by scanning the fluorescence intensity of the microarray (see, e.g., Speed [ 29 ]).”
Use of within-array replicate spots for assessing differential expression in microarray experiments (2005, positive): “Foreground intensities were background corrected using the ‘morph’ background measure and the scorecard spot log-ratios were normalized using global loess normalization with the default smoothing span of 0.3 (Yang et al., 2001; Smyth and Speed, 2003).”