Your English writing platform
Discover LudwigSuggestions(2)
Exact(2)
A summary of the respective contributions of each data source to the model construction is shown in Table 2. Once a draft metabolic model is obtained, its consistency can be checked using a set of simple tests (see Fig. 2): is the model chemically and physically coherent?
These questions are particularly important because many published studies simply present trees from combined analyses of mtDNA and nucDNA, without any examination of whether the mtDNA and nucDNA trees are congruent, or to what extent the combined-data tree reflects the contributions of each data set [e.g. [ 14- 18], but see for example [ 29]].
Similar(58)
We examine the contribution of each data source to the integration model.
Partitioned HBS (PHBS) is the contribution of each data partition to HBS.
The block weights indicate the contribution of each data block to the covariance structure of the input and response data.
Branch support indices were partitioned (i.e., "partitioned Bremer support") with the method of Baker and DeSalle [ 16] to measure the relative contribution of each data set to node support.
Second, we were interested in whether or not the relative contribution of each data partition to node resolution was consistent among branches of variable lengths (Table 3).
Using a machine-learning approach to integrate the data from different contexts, I found that E11.5 heart enhancers can often be predicted accurately from data from other contexts, and I quantified the contribution of each data source to the predictions.
Serving as an effective information fusion method, our method automatically inferred the relative contribution of each data source and calculated strength of association between a given query disease and a candidate gene.
We also conducted partitioned Bremer support analysis (PBS) [ 46- 48] with TreeRot.v2 [ 25] to measure the contribution of each data partition to the total Bremer support for the nodes of genome-based tree topology.
To overcome this problem, as future work, we consider to design a new model where the contribution of each data source is estimated and appropriately weighted within the unified random forest framework.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com