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A face centred central composite design (CCD) was used to statistically visualize the complex interactions of concentration, column length, dosage, and flow rate on the adsorption of dibenzothiophene.
Gene-expression profiles from the two data sets were compared by ranking genes measured in the two experiments according to their signed log10 p-value of differential expression between class A and class B. RRHO heat maps that graphically and statistically visualize correlations between two expression profiles were generated at http://systems.crump.ucla.edu/rankrank/ [ 23].
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Mismatch distributions were performed on species-specific alignments using MEGA version 5 (Tamura et al. 2011) and statistically visualized with siZer (Chaudhui and Marron 1999) to mark significant increases or decreases of slopes around reliable peaks.
However coplots represent a qualitative way to visualize statistically significant interactions; divisions of the data into different categories are performed mathematically so that there is the same number of data points in each category of the third variable.
We assessed these and other observations using GO-based classification of these genes to determine whether specific functional categories are statistically overrepresented, to visualize the network of functional relationships among CAGpolyQ-containing genes, and to determine whether priority candidates for polyglutamine expansion are associated with one or more specific GO terms.
Next, we will work with the team to visualize and statistically analyze the data.
Analysis of functional neuroimages (AFNI) package is another tool to visualize and statistically analyze fMRI datasets [13].
They learned how to use R and RStudio to effectively organize, visualize and statistically explore trends in deep sea physical oceanography.
While we required excess SEA to visualize a statistically significant number of instances of these clusters, it must be noted that SEA exerts its toxic effects at far lower concentrations [2], [5], [6].
Many of these databases enable users to visualize and statistically analyze gene expression profiles.
Finally, we used all region types with statistically significant residuals to visualize single-cell trends.
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CEO of Professional Science Editing for Scientists @ prosciediting.com