Your English writing platform
Discover LudwigExact(2)
Sensitivity analyses were conducted to confirm the conclusions using a paired t-test (two-sample t-test with unequal variance after proper data transformation).
Multivariate normality is also reasonable when testing the means of samples over many conditions, and when proper data transformation is used on the *-seq data, such as log-transformation, averaging signals over intervals, or quantile transformation to z-scores.
Similar(58)
While problems of input data versioning may be avoided with revision control systems, WORM (Write Once Read Many) databases, permanent links and checksums, keeping a proper description of data transformations remains a challenging task.
In this context, there are both experimentation techniques (for example gel randomisation [ 54]) and mathematical procedures (general logarithmic transformation [ 55, 56]) to ensure proper data pre-processing for model calibration.
By preserving the history of each commit, we hope to make the data transformation process more transparent, but also make it easier for curators to obtain proper credit for their work.
Data transformation 3.
Data ingestion with data transformation and without data transformation.
(a) Before data transformation and (b) after log data transformation.
Intermediate data transformation using a MapReduce job.
Clustering is another utilized data transformation method.
Data transformation continues to be a stumbling block towards developing clean data sets, hence effective models.
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