Analyzing gene expression in the mouse brain with image registration, feature extraction and block clustering-17

<p><b>Copyright information:</b></p><p>Taken from "Analyzing gene expression in the mouse brain with image registration, feature extraction and block clustering"</p><p>http://www.biomedcentral.com/1471-2105/8/S10/S5</p><p>BMC Bioinformatics 2007;8(Suppl 10):S5-S5.</p><p>Published online 21 Dec 2007</p><p>PMCID:PMC2230506.</p><p></p>e image and raw image, image after approximate registration and fine registration respectively. In these images red channel corresponds to reference image and green channel corresponds to expression image. Note that as in these images (reference and expression) high intensity (or white) corresponds to low/no expression and vice versa. The last column has the registered image. Rows correspond to genes (Maximum mutual information = 0.5962), (0.6118), (0.6285) and (0.6209) respectively. About 55% of the registrations were of this quality