Your English writing platform
Discover LudwigExact(6)
The dataset was normalized and transformed using principal component analysis (PCA) in order to increase the efficiency of the modelling.
Each dataset was normalized and log2 probe-set intensities calculated using the Robust Multichip Averaging (RMA) algorithm [12].
Each dataset was normalized and filtered (see Methods and Additional file 1).
Note that this second dataset was normalized and analysed entirely independent from the first dataset (see Section 2).
The raw dataset was normalized and analyzed using the "AgiMicroRna" package of the Bioconductor (http://www.bioconductor.org) suite of software for the R statistical programming language (http://www.r-project.org).org
All experiments were performed on the same microarray platform, the HG-U133A GeneChip array (GPL96, Feb 19 , 2002 and each dataset was normalized and pre-processed independently.
Similar(54)
The feature samples in the dataset were normalized and temporally smoothed.
First, the dataset is normalized, and then based on the Euclidian formula distances between antigens, which is called affinity, are calculated.
All 17 datasets are normalized and transformed into log scale.
Each dataset was normalized independently and then merged into a single dataset.
Each genechip dataset was normalized (both intrachip and interchip) before being deposited in the GEO database.
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