Nature

Using RNA sample titrations to assess microarray platform performance and normalization techniques

We have assessed the utility of RNA titration samples for evaluating microarray platform performance and the impact of different normalization methods on the results obtained. As part of the ...
Nature

Normalizing single-cell RNA sequencing data: challenges and opportunities

Single-cell RNA sequencing (scRNA-seq) has transformed the field of transcriptomics by making it possible for researchers to address fundamental questions that could not be tackled by bulk-level ...
GEN

Making Western Blot Quantification More Reliable

Aldrin V. Gomes, Ph.D. Ning Liu Ph.D. A closer examination of housekeeping and other normalization techniques. In recent years, the scientific community has questioned the reliability of Western ...
Visual Studio Magazine

Data Prep for Machine Learning: Normalization

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...
Visual Studio Magazine

Data Prep for Machine Learning: Normalization

This article explains how to programmatically normalize numeric data for use in a machine learning (ML) system such as a deep neural network classifier or clustering algorithm. Suppose you are trying ...