Microarrays have set the stage for an explosion of large-scale expression data, driven by a diversity of genome sequencing projects. The technology has already demonstrated its applications in ...

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 ...

Statistical and Biological Review of Transcriptome Data Made Possible by Interactive Report Although bench scientists understand the value of using gene-expression microarray technology, the full ...

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 ...