Autocorrelation analysis reveals widespread spatial biases in microarray experiments-3

<p><b>Copyright information:</b></p><p>Taken from "Autocorrelation analysis reveals widespread spatial biases in microarray experiments"</p><p>http://www.biomedcentral.com/1471-2164/8/164</p><p>BMC Genomics 2007;8():164-164.</p><p>Published online 12 Jun 2007</p><p>PMCID:PMC1913520.</p><p></p>ary scale colorcode). The biases in panels 1–4 are subarray biases, in 5–10 horizontally-shaped biases and in 11–14 vertically-shaped biases. The lower panel shows the resulting autocorrelation pattern of each particular bias. Individual subarray effects cannot explain the observed autocorrelation periodicities, while large spatial biases give rise to various periodicities, depending on their shape