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The rationale for employing complementary data analysis packages and details of data transformation have been described elsewhere [ 52].
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Articles are more thorough — informed by complementary data and analysis, enriched with links to things like interactive charts, videos and slide shows.
Geneious Basic brings together a large and disparate number of complementary data sources, analysis methods and visualization tools.
We provide a summary of some of the recent work in this area, focusing on how the integration of different kinds of complementary data, and analysis of biological networks and pathways can lead to discovery of robust, specific and useful biomarkers of disease and how these methods can help shed light on the mechanisms and etiology of the diseases being studied.
The results of our complementary qualitative data analysis support the quantitative findings.
If complementary data becomes available, further analysis could explore some of the differences between countries, e.g. through adaptation of meta-analysis [ 49].
This paper proposes a complementary approach, using flowback data analysis to constrain post-flowback data analysis and reduce uncertainty in output results.
We show here how to obtain deeper insight into the comparative performance of learning methods through a complementary parametric approach to data analysis.
It employs novel methods to generate false discovery rates and local false discovery rates (FDR, LFDR) and integrates the best and complementary open-source search and data analysis methods.
We examined two published cancer datasets using two complementary Bioconductor alternatives for CNV data analysis: DNAcopy [ 10] and CGHcall [ 11].
Further, supportive evidence confirming the role of these candidates in the disease development came from the systematic analysis of complementary data form functional effect of knockouts (Table 3).
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