When the healthcare industry talks about data, the conversation usually focuses on interoperability and data standards. These are certainly important topics, but they don’t fully address the challenge ...

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 ...

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 ...