Data normalization can refer to the practice of converting a diverse flow of data into a unified and consistent data model. Conventionally, the task of interpreting health data and mapping to standard ...

We collected a unique pair of microRNA sequencing data sets for the same set of tumor samples; one data set was collected with and the other without uniform handling and balanced design. The former ...

There are many types of experimental methods that often use normalization to fix the differences induced by factors other than what is immediately being analyzed. In particular, normalization can be ...

Comparison of expression data requires normalization. The optimum normalization method depends on sample type, with the most common being to normalize to reference genes. It is critical to select ...

In this editorial, Kenneth Oh overviews the two main normalization methods used to quantify western blots and discusses common errors to avoid. What is western blot normalization? Kenneth Oh is the ...