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First, we validated the performance of DME on the yeast interaction network in comparison with four other methods: clique detection (Clique, implementation from http://www.cfinder.org)., the clique percolation method (CPM, implementation from http://www.cfinder.org).org
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We validated the performance of our method on two separate data sets from confocal and split detector AOSLO systems.
Thus we validated the performance of TRANSMODIS on Pho4p, a TF in budding yeast Saccharomyces cerevisiae.
First, we validated the expected (theoretical) performance gains analytically.
When we validated the performance characteristics of this six-analyte panel that were validated against a second patient cohort, we successfully classified overall 75 of 88 patients.
We first validated the performance of our different pipelines by detecting the presence of 190 different ISs and 26 different MITEs previously identified by BLAST in a set of 30 Archaeal genomes [ 5].
We further validated the performance of sets of AIMs by k-fold cross-validation.
CL and MN evaluated the results of simulation and validated the performance of HFPNe model.
This is, to the best of our knowledge, the first study to validate the performance of the most widely used GFR estimates compared to mGFR in patients with STEMI, during the index hospitalisation.
We validated the predictive performance of models using 10-fold cross-validation.
While our first dataset served for model learning, a second and larger dataset is necessary to validate the performance of the predictive model.
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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