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To examine differences in normalized gene expression between tumors, adjacent normals and donors the mean MAS 5.0 and dChip generated signal of each probe set for each specimen class (60 tumors, 63 adjacent normals and 19 donors), was calculated and plotted on a series of scatter plots (Fig 1).
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Typical high throughput microarrays experiments compare gene expression across two specimen classes – an experimental class and baseline (or comparison) class.
The choice of specimen classes is a major factor in the differential gene expression patterns revealed by these experiments.
The "SAM Plots" are also very useful in visualizing differences in overall differential gene expression between specimen classes.
Statistical analysis using Significance Analysis of Microarrays (SAM) demonstrates the presence of unique gene expression profiles for each of these specimen classes.
To determine the significance of this value, SAM estimates the "expected" d value if there were no difference between the specimen classes.
The goal of our research was to examine the differential gene expression patterns observed when comparing our three specimen classes: tumor versus adjacent normal, tumor versus donor and adjacent normal versus donor.
This value represents the observed difference in mean expression levels between the specimen classes being compared (i.e. tumor and donor) divided by the variance in the data and a fudge factor (see the original paper for details [ 21]. The resulting value is called the "observed d value".
The "specimen" category (Ospec) contained: fossil specimens, living specimens, material samples and preserved specimens.
The man has made me a wooden press and You find my specimens first class.
Students spent hours snorkeling on shallow reefs to collect specimens for class, which was held at a local lab, and observed dozens of animals in their natural habitat.
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