The phrase "a method for normalization" is correct and usable in written English.
You can use it when discussing techniques or processes aimed at standardizing data or values in various fields, such as statistics, data science, or machine learning.
Example: "In our analysis, we employed a method for normalization to ensure that the data was comparable across different scales."
Alternatives: "a technique for standardization" or "a procedure for normalization."
Our method includes three main tasks, i.e., (1) a method for normalization of Vietnamese tweets based on dictionaries and Vietnamese vocabulary structures in combination with a language model; (2) a method for detecting and correcting suitable capital letters; and (3) a model for training and recognizing named entities in Vietnamese tweets.
In these cases, a method for normalization to two or more of the most stable internal control genes identified might be necessary.
While Lewek's study [ 27] was performed on lower limb muscles and not trunk muscles, it should be noted that these exercises have been used as a method for normalization for those with chronic low back pain with no adverse effects [ 13].
Then, a numerical integration of this quantity and a method for its normalization are proposed.
We proposed a method for the normalization of Vietnamese tweets, based on the dictionaries and Vietnamese vocabulary structures in combination with a language model.
External RNA controls would provide an alternative method for normalization in relative quantification assays.
Aquantile normalization was then applied to the A-values as a method for between-array normalization, to assure that the intensities and log-ratios had similar distributions across arrays.
Quantile-normalization was applied to the log2-transformed intensity values as a method for between-array normalization, to ensure that the intensities had similar distributions across arrays [ 19].
Quantile-normalization was applied to the log2-transformed intensity values as a method for between-array normalization to ensure that the intensities had similar distributions across arrays.
Qspline is a robust non-linear method for normalization using array signal distribution analysis and cubic splines.
We present a straightforward and effective empirical method for normalization of RNA-seq data.
