The phrase "and normalized using a" is correct and usable in written English.
It can be used in contexts where you are describing a process that involves standardizing or adjusting data or values in a specific way.
Example: "The data was collected from various sources and normalized using a statistical method to ensure consistency."
Alternatives: "and standardized with a" or "and adjusted through a".
cDNA synthesis was carried out using the SMART cDNA construction kit (Clontech) and normalized using a cDNA Normalization Kit (Evrogen) by the Dragon Genomics Centre, TAKARA BIO Inc. (Yokkaichi, Japan).
The resulting FCS files were concatenated and normalized using a bead-based normalization algorithm in the CyTOF acquisition software and analyzed with Cytobank.
Data were transformed using a variance stabilization transformation [ 62], which takes into account the large number of technical replicates on Illumina arrays, and normalized using a robust spline normalization.
Median intensities were extracted and normalized using a within-print-tip lowess location normalization and an overall scale normalization [39] with no background correction.
Briefly, peptide intensities from the LC-MS analyses were log2 transformed and normalized using a mean central tendency procedure.
Briefly, peptide intensities from the LC-MS analyses of the individual samples (volume limited) were log2 transformed and normalized using a mean central tendency procedure.
The scanned fluorescence intensity data were smoothed to remove undesirable local hybridization biases, and normalized using an ANOVA model [ 31] to remove systematic biases.
Intensities were background-corrected by the "normexp" method with offset equal to 16 to stabilize the log-ratios of low-intensity probes (Ritchie et al. 2007) and then normalized using a global loess curve for each array (Smyth and Speed 2003).
The input features to the student DNN are the same as the SI DNN, 11 frames of 40-dimensional log-mel filterbanks which have been mean and variance normalized using a rolling window.
All data were log-transformed, and subsequently normalized using a mixed-model ANOVA with the following model: Ylmn = μ + dyel + arraym + blockn + dyel*arraym + εlmn, where Ylmn is expression, dyel and blockn (which estimates the print-tip effect on the oligonucleotide arrays) are fixed effects, and arraym and its interactions are random effects.
Data were analyzed by first subtracting the background, and then normalized using a cyclic LOWESS filter (locally-weighted regression) [ 58].
