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authorBonface2024-02-13 23:52:26 -0600
committerMunyoki Kilyungi2024-08-09 13:30:43 +0300
commitb2feda451ccfbeaed02dce9088d6dd228cf15861 (patch)
tree3dd2883524985114070a7770cd2e9f9bd7eb1848 /general/datasets/Eye_m2_1105_m/processing.rtf
parentd029d5d7f8ead1f1de8d318045004a4a6f68f5fb (diff)
downloadgn-docs-b2feda451ccfbeaed02dce9088d6dd228cf15861.tar.gz
Update dataset RTF Files.
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+<blockquote><strong>Probe (cell) level data from the CEL file: </strong>These CEL values produced by <a class="fs14" href="http://www.affymetrix.com/support/technical/product_updates/gcos_download.affx" target="_blank">GCOS</a> are 75% quantiles from a set of 91 pixel values per cell.
+
+<ul>
+ <li>Step 1: We added an offset of 1.0 unit to each cell signal to ensure that all values could be logged without generating negative values. We then computed the log base 2 of each cell.</li>
+ <li>Step 2: We performed a quantile normalization of the log base 2 values for the total set of arrays using the same initial steps used by the RMA transform.</li>
+ <li>Step 3: We computed the Z scores for each cell value.</li>
+ <li>Step 4: We multiplied all Z scores by 2.</li>
+ <li>Step 5: We added 8 to the value of all Z scores. The consequence of this simple set of transformations is to produce a set of Z scores that have a mean of 8, a variance of 4, and a standard deviation of 2. The advantage of this modified Z score is that a two-fold difference in expression level corresponds approximately to a 1 unit difference.</li>
+ <li>Step 7: Finally, when appropriate, we computed the arithmetic mean of the values for the set of microarrays for each strain. Technical replicates were averaged before computing the mean for independent biological samples.</li>
+</ul>
+</blockquote>