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This is the reason why it is important to choose an analysis tool like EMD.
Given the similarities in performance, the implementation and general usability of the different programs is an important factor in choosing an analysis tool (Figure 2).
ROAs are obtained by partitioning a reference sequence into two tracks of overlapping segments, generated by choosing an analysis start location on the reference sequence and selecting an ROA length, with the ROA overlap defined as one-half the ROA length.
Because our genomics data were mined to follow the expression patterns of the γ- and β-globin genes patterns, we chose a statistical analysis consisting of F-distribution with the Analysis of Variance (ANOVA) value = 0.01 and False Discovery Rate (FDR) = 0.05.
We chose a specific analysis strategy for the construction of the regression models.
We chose a data analysis period of March 1st through June 10th, 2002-2012 to cover peak periods of these pollen types.
Thus, when applying FM for gene set analysis, one should choose an appropriate analysis method (and if possible, the most powerful) for assessing the association of each gene with the phenotype.
To combine results of individual studies and to aggregate robust DEGs with reliable effect sizes, we chose a meta-analysis approach [ 21, 27].
We chose an editing style analysis [ 23] that was well suited for development of new concepts.
As this specific condition occurs mostly in elderly patients, we chose for an analysis of our data in two age categories.
As a basis for choosing an appropriate analysis pipeline for newly sequenced V. vulnificus genomes, we first generated simulated read data from the genome of V. vulnificus CMCP6.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com