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We applied the PPA to the data sets that contained 36 organs and 44,928 replicated probe sets for human and 30 organs and 36,182 replicated probe sets for mouse.
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The array contains 4844 probe-sets, 254 of which are controls or replicate probe-sets.
Our design is based on a single chip containing two internal replicate probe sets (2×) of 11 probes per unigene and controls such as random GC oligonucleotides, covering the whole 385K 1-plex platform spots.
Of these, 456 were mapped to known identities in the Ingenuity Knowledge database and only 428 were eligible for network generation, due to the presence of replicate probe sets with specificity for the same gene on the chip.
Technical array replicates (three duplicate probe sets were incorporated into each slide) were averaged prior to analysis of the three repeat experimental replicates of each isolate.
The pipeline handles all steps of the process including data download, microarray preprocessing, merging of duplicate probe sets and sample technical replicates, up-to-date probe-set to gene mapping and building of the R/Bioconductor objects and package.
The chip design is based in a single chip containing two internal replicate probe-sets (2×) of eleven probes per unigene, covering completely the 350K spotted platform.
Expression values of replicated probes were averaged.
Within-array replicate probe values were combined for the replicate arrays to produce a final set of between 6 and 18 ratios for each probe.
This function was computed based on the variability of the area between the replicates for probe sets with similar average 0 hour probe set intensity.
We optimized the parameters in the Sub-Sub normalization by examining the results among replicates, and by checking probe sets of S. pombe on the Yeast2.0 Array.
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