Your English writing platform
Discover LudwigExact(2)
A sample of 50 random datasets was created, using principal axis factoring with the same numbers of observations and variables as in the exploratory factor analysis.
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].
Similar(58)
Two distinct datasets were created.
First of all, artificial test datasets were created.
21 datasets were created from the screening data.
The NN training datasets were created using utterances from the stereo dataset.
The Monte Carlo simulations were repeated 100 times using these parameters, and the background datasets were created.
Randomly generated datasets were created using a predetermined number of variables and entries.
Pool-specific paired-end datasets were created by comparison to the pools-specific Titanium datasets using BLASTN and assigning each read to an individual pool.
Two ROI datasets were created.
Initially, three datasets were created from the complete dataset.
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