Your English writing platform
Discover LudwigExact(3)
The three key properties of this approach are (i) the ability to process very large datasets, (ii) the ability to identify multiple distinct motifs within one dataset and (iii) versatility, as no limits are put on the origin of the data, and no prior data knowledge is required.
Next, we picked the gene with the value of τ closest to the randomly chosen τ within one dataset (i.e. within one replicate, or one species).
Unfortunately, the mutation frequency of individual genes was too low to allow for a statistical comparison, and a combined analysis of mutated genes does not show a difference between wt and mutated samples within one dataset.
Similar(57)
Similarity metrics were compared based on their ranking of the compounds within one experiment (one dataset) using sum of ranking differences (SRD), while the results of the entire set of experiments were summarized on box and whisker plots.
This study is further limited in that we have assessed VLAD using only one dataset and within that only hospitals with the highest volume of admissions.
In the cases where more than one dataset falling within the 0-12 h period was available for a particular transcription factor, a union of the datasets was created for that TF, and this was used in the co-occurrence analysis [ 57].
For each imputation method within one simulated dataset, we obtain an average point estimate across the m imputed datasets, which we denote Q ¯ m.
These categories can then be used to define relationships within an individual ontology such as defining one dataset as a subclass of an existing dataset or defining one workflow component as a subclass of an existing workflow component.
Because it was not straightforward to manually construct a dataset with a network structure, we simulated group structures for both datasets and then converted them into network structures for one dataset by connecting all the pairs within each group.
Two alternative datasets were generated: one dataset (noted 6P) where the two sampling sites within each region are assumed to come from the same population, and one dataset (noted 12P) where each sampling site is considered as a different population.
We developed a Bayesian-based analysis framework for identifying genetic mutations specific to one dataset, as is the case of somatic mutations within tumors for tumor/normal pairs.
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