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That only two of the 12 analyses of Disparity A resulted in significant results, and two additional analyses were marginally significant, suggests that in most cases, module integration does not have a strong influence on module disparity.
Exome-assistant consists of four modules: the single case module, the two cases module, the multiple cases module, and the reanalysis module.
The multiple cases module also supports family-based studies and Mendelian filtering.
In the multiple cases module, family-based study and Mendelian filtering can also be performed by Exome-assistant.
The primary motivation for developing the two cases module was to identify potential rare disease causal variations and genes, as well as to provide the ability to consider lower frequency gene disorders.
To compare the performance of Exome-assistant with other similar tools, we used the multiple cases module of Exome-assistant, ANNOVAR and VAAST to perform a comparative analysis on the ALS sample SNPs/InDel data (28917/5733, 38232/5313 39142/6115, 37444/4875, 37444/4875 and 38113/5300 SNPs/InDels for B340, B350, B360, B270, B310 and B330, respectively).
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Two cases and multiple cases modules, which are based on the single case module, aim to identify the shared and unique variations between or among samples.
The two cases and multiple cases modules allow users to identify sample-specific and common variations.
When the percentage of support cases (Modules 1 6) completed was compared with the percentage of incidental (Module 0) case completed, the interaction term was statistically significant (Table 3).
In many cases, modules describing downregulated regions of the network are of as much interest as upregulated regions.
To compare the percentage of support cases (Modules 1 6) completed with the percentage of incidental (Module 0) cases completed a negative binomial generalised estimating equation (GEE) model was fitted to the data.
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