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For transcriptome analysis involving a large numbers of samples such as in a time-course experiment with multiple repeat, it is economical to use DNA microarray-based technologies.
The only analysis involving a large number of revision procedures (1,135) was published by the Swedish Knee Arthroplasty study (Lewold et al. 1998).
To this end we programmatically considered relatively simple methods, ranging from unweighted to weighted network integration algorithms, excluding more complex algorithms proposed in the literature, to allows us to perform an extensive analysis involving a large set of diseases, a large set of human genes and a significant subset of the integration methods applied to gene prioritization problems.
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The objective analysis involved a large number of consultations, was corrected for the complexity of the patients seen and adjusted for the clinician seeing them.
Second, although the present analysis involves a large number of studies and genetic variants, it is relatively small in comparison with other meta-analysis on different diseases.
The current analysis involves a larger number of patients than previously reported (>3000 patients with nearly 12 000 patient-years of observation), including a substantial number of patients treated for >5 years.
This systematic review and meta-analysis involved a large number of trials (49 randomised controlled trials) in participants with a range of metabolic phenotypes.
This analysis involves a very large dataset involving many programmes in conflict affected environments and thus provides important data supporting the effectiveness of providing ART in these environments.
The analysis involved a considerably larger sample size than in existing studies on price promotions.
Our analysis suggests that modest expression changes involving a large number of genes are associated with trait deterioration.
We conducted a secondary analysis of data from a major national survey involving a large sample of patients.
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