Your English writing platform
Discover LudwigSuggestions(5)
Exact(1)
In contrast to the problem state and declarative memory modules, we expected a higher BOLD response peak for the easier conditions in the manual and visual areas.
Similar(59)
Within a module, we expect to see few strong signals (gene sets associated with all pairwise tests) and many weaker signals.
On the other hand, because overlap between the modules is restrained, we expect the modules to be functionally heterogeneous and to represent relatively independent biological processes and transcriptional regulatory programs.
Because the cross-links were collected on a sample of Mediator Holoenzyme complex, we expected the inter-module cross-links to be less accurate than the intra-module cross-links in describing the apo-mediator state.
In addition, since visceral and subcutaneous adipose tissues are closely related, we expected to find similar modules in both tissues.
Taking nominal losses of the components, splice connections and the conversion efficiency of the SHG modules into account, we expect an optical power of 10 mW and 3 mW for the pump and probe beam at 532 nm, respectively, which is sufficient for saturation spectroscopy.
Since the BCC modules are derived from a larger collection of data than the BC modules, we would have expected a performance that is at least equal and possibly even better than the BC modules.
Additionally, we expect Modules 2 to 4 to be accessible for offsite residents through telemedicine capabilities.
One clear advantage of working with modules is that here, in principal we expect proteins forming the module to show agreement in terms of activity, which when reflected on their respective gene expression should produce more consistent results in terms of up- or down-regulation than in the case of genes forming entire KEGG pathways.
Since our modules are large and distinct, we expect them to be found by many alternative detection methods.
We expect that the SEC module will be particularly valuable to track changes over time within China.
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