Your English writing platform
Free sign upSuggestions(1)
Similar(60)
The data were transformed using the variance stabilization transformation (VST) [37] and normalized using the robust spline normalization (RSN) [36].
Data were normalized using the robust spline normalization method [ 52].
A similar approach, using the robust LOWESS normalization was applied in a recent work with good correlation between RNA-Seq and microarray approaches [ 24].
Probe set signal normalization and summarization was carried out using the Robust Multi-array normalization algorithm (RMA), as implemented in GeneSpring software.
The.CEL files were processed using the R/affy package using the Robust Multichip Average normalization method [ 59].
The normalization of the signal intensities of the probe sets (taking two types of files, *.cel and *.ARR) was carried out using the Robust Multi-array normalization algorithm (RMA) implemented in GeneSpring's Multi-omic analysis (version 11.5.1, build-138755) software (Agilent Technologies, Santa Clara, USA).
In MDACC133, raw data were normalized using the robust multiarray analysis (RMA) normalization approach.
For all publicly data sets, raw data was normalized using the robust multi-array analysis normalization approach.
Probe signal intensities were captured and processed with GeneChip Operating Software 1.4.0.036 (Affymetrix), and the resulting CEL files were reprocessed using the Robust Multichip Average (RMA) normalization [55].
Raw data were processed using the robust version of LOWESS normalization [ 24].
All microarray raw data (cel files) were transformed using the Robust Multichip Average (RMA) normalization algorithm.
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